diff --git a/R/ds-auto-summary.R b/R/ds-auto-summary.R index 97e2abd..eac67ae 100644 --- a/R/ds-auto-summary.R +++ b/R/ds-auto-summary.R @@ -1,6 +1,6 @@ -#' Summary statistics +#' Descriptive statistics and frquency tables #' -#' Generate summary statistics for all continuous variables in data. +#' Generate summary statistics & frequency table for all continuous variables in data. #' #' @param data A \code{data.frame} or \code{tibble}. #' @param ... Column(s) in \code{data}. diff --git a/R/ds-multistats.R b/R/ds-multistats.R index b02238a..2a7b41a 100644 --- a/R/ds-multistats.R +++ b/R/ds-multistats.R @@ -1,4 +1,4 @@ -#' Multiple variable statistics +#' Tidy descriptive statistics #' #' Descriptive statistics for multiple variables. #' diff --git a/R/ds-plots.R b/R/ds-plots.R index 6056e42..9cfb8f9 100644 --- a/R/ds-plots.R +++ b/R/ds-plots.R @@ -7,7 +7,7 @@ #' #' @examples #' ds_plot_scatter(mtcarz) -#' ds_plot_scatter(mtcarz, mpg, disp, hp) +#' ds_plot_scatter(mtcarz, mpg, disp) #' #' @importFrom rlang sym #' @importFrom utils combn @@ -424,7 +424,7 @@ ds_plot_bar_grouped <- function(data, ...) { } -#' Compate distributions +#' Compare distributions #' #' Creates box plots if the data has both categorical & continuous variables. #' diff --git a/_pkgdown.yml b/_pkgdown.yml index 99438ea..e694d69 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -65,6 +65,7 @@ reference: - ds_auto_summary_stats - ds_summary_stats - ds_tidy_stats + - ds_freq_table - ds_measures_location - ds_measures_variation - ds_measures_symmetry diff --git a/cran-comments.md b/cran-comments.md index 8b70a39..a74ddef 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -1,16 +1,16 @@ -This is a patch release for bug fixes. - ## Test environments -* local Windows 10, R 3.4.4 -* ubuntu 12.04 (on travis-ci), R 3.3.3, R 3.4.4, R-devel +* local Windows 10, R 3.5.1 +* ubuntu 14.04 (on travis-ci), R 3.4.4, R 3.5.2, R-devel * win-builder (devel and release) ## R CMD check results -0 errors | 0 warnings | 0 note +0 errors | 0 warnings | 1 note + +* There was 1 NOTE about ORCID ID in R 3.4.4 ## Reverse dependencies -We checked 2 dependencies (olsrr and inferr) and it returned a NOTE. +We checked 4 dependencies (olsrr, blorr, xplorerr and inferr) and it returned a NOTE. diff --git a/docs/CNAME b/docs/CNAME new file mode 100644 index 0000000..3c70af6 --- /dev/null +++ b/docs/CNAME @@ -0,0 +1 @@ +descriptr.rsquaredacademy.com diff --git a/docs/CONDUCT.html b/docs/CONDUCT.html index 33090b4..3c67a79 100644 --- a/docs/CONDUCT.html +++ b/docs/CONDUCT.html @@ -60,7 +60,7 @@ descriptr - 0.4.1.9000 + 0.5.0 @@ -77,10 +77,13 @@ diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html index e8a4872..a557243 100644 --- a/docs/LICENSE-text.html +++ b/docs/LICENSE-text.html @@ -60,7 +60,7 @@ descriptr - 0.4.1.9000 + 0.5.0 @@ -77,10 +77,13 @@ diff --git a/docs/articles/categorical-data.html b/docs/articles/categorical-data.html new file mode 100644 index 0000000..d85bc8a --- /dev/null +++ b/docs/articles/categorical-data.html @@ -0,0 +1,424 @@ + + + + + + + +Categorical Data • descriptr + + + + + + + + + +
+
+ + + +
+
+
+

Categorical Data

+

Aravind Hebbali

+ +

2019-01-22

+ + Source: vignettes/categorical-data.Rmd + + +
+ + + +
+

+Introduction

+

In this document, we will introduce you to functions for exploring and visualizing categorical data.

+
+ +
+

+Cross Tabulation

+

The ds_cross_table() function creates two way tables of categorical variables.

+ +

If you want the above result as a tibble, use ds_twoway_table().

+ +

A plot() method has been defined which will generate:

+
+

+Grouped Bar Plots

+
k <- ds_cross_table(mtcarz, cyl, gear)
+plot(k)
+

+
+
+

+Stacked Bar Plots

+
k <- ds_cross_table(mtcarz, cyl, gear)
+plot(k, stacked = TRUE)
+

+
+
+

+Proportional Bar Plots

+
k <- ds_cross_table(mtcarz, cyl, gear)
+plot(k, proportional = TRUE)
+

+
+
+ +
+

+Multiple One Way Tables

+

The ds_auto_freq_table() function creates multiple one way tables by creating a frequency table for each categorical variable in a data set. You can also specify a subset of variables if you do not want all the variables in the data set to be used.

+
ds_auto_freq_table(mtcarz)
+#>                              Variable: cyl                              
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    4          11             11              34.38            34.38    
+#> -----------------------------------------------------------------------
+#>    6           7             18              21.88            56.25    
+#> -----------------------------------------------------------------------
+#>    8          14             32              43.75             100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+#> 
+#>                              Variable: vs                               
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    0          18             18              56.25            56.25    
+#> -----------------------------------------------------------------------
+#>    1          14             32              43.75             100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+#> 
+#>                              Variable: am                               
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    0          19             19              59.38            59.38    
+#> -----------------------------------------------------------------------
+#>    1          13             32              40.62             100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+#> 
+#>                             Variable: gear                              
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    3          15             15              46.88            46.88    
+#> -----------------------------------------------------------------------
+#>    4          12             27              37.5             84.38    
+#> -----------------------------------------------------------------------
+#>    5           5             32              15.62             100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+#> 
+#>                             Variable: carb                              
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    1           7              7              21.88            21.88    
+#> -----------------------------------------------------------------------
+#>    2          10             17              31.25            53.12    
+#> -----------------------------------------------------------------------
+#>    3           3             20              9.38             62.5     
+#> -----------------------------------------------------------------------
+#>    4          10             30              31.25            93.75    
+#> -----------------------------------------------------------------------
+#>    6           1             31              3.12             96.88    
+#> -----------------------------------------------------------------------
+#>    8           1             32              3.12              100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+
+
+

+Multiple Two Way Tables

+

The ds_auto_cross_table() function creates multiple two way tables by creating a cross table for each unique pair of categorical variables in a data set. You can also specify a subset of variables if you do not want all the variables in the data set to be used.

+
ds_auto_cross_table(mtcarz, cyl, gear, am)
+#>     Cell Contents
+#>  |---------------|
+#>  |     Frequency |
+#>  |       Percent |
+#>  |       Row Pct |
+#>  |       Col Pct |
+#>  |---------------|
+#> 
+#>  Total Observations:  32 
+#> 
+#>                                 cyl vs gear                                 
+#> ----------------------------------------------------------------------------
+#> |              |                           gear                            |
+#> ----------------------------------------------------------------------------
+#> |          cyl |            3 |            4 |            5 |    Row Total |
+#> ----------------------------------------------------------------------------
+#> |            4 |            1 |            8 |            2 |           11 |
+#> |              |        0.031 |         0.25 |        0.062 |              |
+#> |              |         0.09 |         0.73 |         0.18 |         0.34 |
+#> |              |         0.07 |         0.67 |          0.4 |              |
+#> ----------------------------------------------------------------------------
+#> |            6 |            2 |            4 |            1 |            7 |
+#> |              |        0.062 |        0.125 |        0.031 |              |
+#> |              |         0.29 |         0.57 |         0.14 |         0.22 |
+#> |              |         0.13 |         0.33 |          0.2 |              |
+#> ----------------------------------------------------------------------------
+#> |            8 |           12 |            0 |            2 |           14 |
+#> |              |        0.375 |            0 |        0.062 |              |
+#> |              |         0.86 |            0 |         0.14 |         0.44 |
+#> |              |          0.8 |            0 |          0.4 |              |
+#> ----------------------------------------------------------------------------
+#> | Column Total |           15 |           12 |            5 |           32 |
+#> |              |        0.468 |        0.375 |        0.155 |              |
+#> ----------------------------------------------------------------------------
+#> 
+#> 
+#>                          cyl vs am                           
+#> -------------------------------------------------------------
+#> |              |                     am                     |
+#> -------------------------------------------------------------
+#> |          cyl |            0 |            1 |    Row Total |
+#> -------------------------------------------------------------
+#> |            4 |            3 |            8 |           11 |
+#> |              |        0.094 |         0.25 |              |
+#> |              |         0.27 |         0.73 |         0.34 |
+#> |              |         0.16 |         0.62 |              |
+#> -------------------------------------------------------------
+#> |            6 |            4 |            3 |            7 |
+#> |              |        0.125 |        0.094 |              |
+#> |              |         0.57 |         0.43 |         0.22 |
+#> |              |         0.21 |         0.23 |              |
+#> -------------------------------------------------------------
+#> |            8 |           12 |            2 |           14 |
+#> |              |        0.375 |        0.062 |              |
+#> |              |         0.86 |         0.14 |         0.44 |
+#> |              |         0.63 |         0.15 |              |
+#> -------------------------------------------------------------
+#> | Column Total |           19 |           13 |           32 |
+#> |              |        0.594 |        0.406 |              |
+#> -------------------------------------------------------------
+#> 
+#> 
+#>                          gear vs am                          
+#> -------------------------------------------------------------
+#> |              |                     am                     |
+#> -------------------------------------------------------------
+#> |         gear |            0 |            1 |    Row Total |
+#> -------------------------------------------------------------
+#> |            3 |           15 |            0 |           15 |
+#> |              |        0.469 |            0 |              |
+#> |              |            1 |            0 |         0.47 |
+#> |              |         0.79 |            0 |              |
+#> -------------------------------------------------------------
+#> |            4 |            4 |            8 |           12 |
+#> |              |        0.125 |         0.25 |              |
+#> |              |         0.33 |         0.67 |         0.38 |
+#> |              |         0.21 |         0.62 |              |
+#> -------------------------------------------------------------
+#> |            5 |            0 |            5 |            5 |
+#> |              |            0 |        0.156 |              |
+#> |              |            0 |            1 |         0.16 |
+#> |              |            0 |         0.38 |              |
+#> -------------------------------------------------------------
+#> | Column Total |           19 |           13 |           32 |
+#> |              |        0.594 |        0.406 |              |
+#> -------------------------------------------------------------
+
+
+ + + +
+ + + +
+ + + + + diff --git a/docs/articles/descriptive-stats_files/figure-html/cross_group-1.png b/docs/articles/categorical-data_files/figure-html/cross_group-1.png similarity index 100% rename from docs/articles/descriptive-stats_files/figure-html/cross_group-1.png rename to docs/articles/categorical-data_files/figure-html/cross_group-1.png diff --git a/docs/articles/descriptive-stats_files/figure-html/cross_prop-1.png b/docs/articles/categorical-data_files/figure-html/cross_prop-1.png similarity index 100% rename from docs/articles/descriptive-stats_files/figure-html/cross_prop-1.png rename to docs/articles/categorical-data_files/figure-html/cross_prop-1.png diff --git a/docs/articles/descriptive-stats_files/figure-html/cross_stack-1.png b/docs/articles/categorical-data_files/figure-html/cross_stack-1.png similarity index 100% rename from docs/articles/descriptive-stats_files/figure-html/cross_stack-1.png rename to docs/articles/categorical-data_files/figure-html/cross_stack-1.png diff --git a/docs/articles/descriptive-stats_files/figure-html/ftable_bar-1.png b/docs/articles/categorical-data_files/figure-html/ftable_bar-1.png similarity index 100% rename from docs/articles/descriptive-stats_files/figure-html/ftable_bar-1.png rename to docs/articles/categorical-data_files/figure-html/ftable_bar-1.png diff --git a/docs/articles/continuous-data.html b/docs/articles/continuous-data.html new file mode 100644 index 0000000..27d2109 --- /dev/null +++ b/docs/articles/continuous-data.html @@ -0,0 +1,682 @@ + + + + + + + +Continuous Data • descriptr + + + + + + + + + +
+
+ + + +
+
+
+

Continuous Data

+

Aravind Hebbali

+ +

2019-01-21

+ + Source: vignettes/continuous-data.Rmd + + +
+ + + +
+

+Introduction

+

This document introduces you to a basic set of functions that describe data continuous data. The other two vignettes introduce you to functions that describe categorical data and visualization options.

+
+ + +
+

+Summary Statistics

+

The ds_summary_stats function returns a comprehensive set of statistics including measures of location, variation, symmetry and extreme observations.

+ +

You can pass multiple variables as shown below:

+
ds_summary_stats(mtcarz, mpg, disp)
+#> ------------------------------ Variable: mpg ------------------------------
+#> 
+#>                         Univariate Analysis                          
+#> 
+#>  N                       32.00      Variance                36.32 
+#>  Missing                  0.00      Std Deviation            6.03 
+#>  Mean                    20.09      Range                   23.50 
+#>  Median                  19.20      Interquartile Range      7.38 
+#>  Mode                    10.40      Uncorrected SS       14042.31 
+#>  Trimmed Mean            19.95      Corrected SS          1126.05 
+#>  Skewness                 0.67      Coeff Variation         30.00 
+#>  Kurtosis                -0.02      Std Error Mean           1.07 
+#> 
+#>                               Quantiles                               
+#> 
+#>               Quantile                            Value                
+#> 
+#>              Max                                  33.90                
+#>              99%                                  33.44                
+#>              95%                                  31.30                
+#>              90%                                  30.09                
+#>              Q3                                   22.80                
+#>              Median                               19.20                
+#>              Q1                                   15.43                
+#>              10%                                  14.34                
+#>              5%                                   12.00                
+#>              1%                                   10.40                
+#>              Min                                  10.40                
+#> 
+#>                             Extreme Values                            
+#> 
+#>                 Low                                High                
+#> 
+#>   Obs                        Value       Obs                        Value 
+#>   15                         10.4        20                         33.9  
+#>   16                         10.4        18                         32.4  
+#>   24                         13.3        19                         30.4  
+#>    7                         14.3        28                         30.4  
+#>   17                         14.7        26                         27.3  
+#> 
+#> 
+#> 
+#> ------------------------------ Variable: disp -----------------------------
+#> 
+#>                           Univariate Analysis                            
+#> 
+#>  N                         32.00      Variance               15360.80 
+#>  Missing                    0.00      Std Deviation            123.94 
+#>  Mean                     230.72      Range                    400.90 
+#>  Median                   196.30      Interquartile Range      205.18 
+#>  Mode                     275.80      Uncorrected SS       2179627.47 
+#>  Trimmed Mean             228.00      Corrected SS          476184.79 
+#>  Skewness                   0.42      Coeff Variation           53.72 
+#>  Kurtosis                  -1.07      Std Error Mean            21.91 
+#> 
+#>                                 Quantiles                                 
+#> 
+#>                Quantile                              Value                 
+#> 
+#>               Max                                    472.00                
+#>               99%                                    468.28                
+#>               95%                                    449.00                
+#>               90%                                    396.00                
+#>               Q3                                     326.00                
+#>               Median                                 196.30                
+#>               Q1                                     120.83                
+#>               10%                                    80.61                 
+#>               5%                                     77.35                 
+#>               1%                                     72.53                 
+#>               Min                                    71.10                 
+#> 
+#>                               Extreme Values                              
+#> 
+#>                  Low                                  High                 
+#> 
+#>   Obs                          Value       Obs                          Value 
+#>   20                           71.1        15                            472  
+#>   19                           75.7        16                            460  
+#>   18                           78.7        17                            440  
+#>   26                            79         25                            400  
+#>   28                           95.1         5                            360
+

If you do not specify any variables, it will detect all the continuous variables in the data set and return summary statistics for each of them.

+
+ +
+

+Auto Summary

+

If you want to view summary statistics and frequency tables of all or subset of variables in a data set, use ds_auto_summary().

+
ds_auto_summary_stats(mtcarz, disp, mpg)
+#> ------------------------------ Variable: disp -----------------------------
+#> 
+#> ---------------------------- Summary Statistics ---------------------------
+#> 
+#> ------------------------------ Variable: disp -----------------------------
+#> 
+#>                           Univariate Analysis                            
+#> 
+#>  N                         32.00      Variance               15360.80 
+#>  Missing                    0.00      Std Deviation            123.94 
+#>  Mean                     230.72      Range                    400.90 
+#>  Median                   196.30      Interquartile Range      205.18 
+#>  Mode                     275.80      Uncorrected SS       2179627.47 
+#>  Trimmed Mean             228.00      Corrected SS          476184.79 
+#>  Skewness                   0.42      Coeff Variation           53.72 
+#>  Kurtosis                  -1.07      Std Error Mean            21.91 
+#> 
+#>                                 Quantiles                                 
+#> 
+#>                Quantile                              Value                 
+#> 
+#>               Max                                    472.00                
+#>               99%                                    468.28                
+#>               95%                                    449.00                
+#>               90%                                    396.00                
+#>               Q3                                     326.00                
+#>               Median                                 196.30                
+#>               Q1                                     120.83                
+#>               10%                                    80.61                 
+#>               5%                                     77.35                 
+#>               1%                                     72.53                 
+#>               Min                                    71.10                 
+#> 
+#>                               Extreme Values                              
+#> 
+#>                  Low                                  High                 
+#> 
+#>   Obs                          Value       Obs                          Value 
+#>   20                           71.1        15                            472  
+#>   19                           75.7        16                            460  
+#>   18                           78.7        17                            440  
+#>   26                            79         25                            400  
+#>   28                           95.1         5                            360  
+#> 
+#> 
+#> 
+#> NULL
+#> 
+#> 
+#> -------------------------- Frequency Distribution -------------------------
+#> 
+#>                                Variable: disp                                 
+#> |---------------------------------------------------------------------------|
+#> |      Bins       | Frequency | Cum Frequency |   Percent    | Cum Percent  |
+#> |---------------------------------------------------------------------------|
+#> |  71.1  - 151.3  |    12     |      12       |     37.5     |     37.5     |
+#> |---------------------------------------------------------------------------|
+#> | 151.3  - 231.5  |     5     |      17       |    15.62     |    53.12     |
+#> |---------------------------------------------------------------------------|
+#> | 231.5  - 311.6  |     6     |      23       |    18.75     |    71.88     |
+#> |---------------------------------------------------------------------------|
+#> | 311.6  - 391.8  |     5     |      28       |    15.62     |     87.5     |
+#> |---------------------------------------------------------------------------|
+#> | 391.8  -  472   |     4     |      32       |     12.5     |     100      |
+#> |---------------------------------------------------------------------------|
+#> |      Total      |    32     |       -       |    100.00    |      -       |
+#> |---------------------------------------------------------------------------|
+#> 
+#> 
+#> ------------------------------ Variable: mpg ------------------------------
+#> 
+#> ---------------------------- Summary Statistics ---------------------------
+#> 
+#> ------------------------------ Variable: mpg ------------------------------
+#> 
+#>                         Univariate Analysis                          
+#> 
+#>  N                       32.00      Variance                36.32 
+#>  Missing                  0.00      Std Deviation            6.03 
+#>  Mean                    20.09      Range                   23.50 
+#>  Median                  19.20      Interquartile Range      7.38 
+#>  Mode                    10.40      Uncorrected SS       14042.31 
+#>  Trimmed Mean            19.95      Corrected SS          1126.05 
+#>  Skewness                 0.67      Coeff Variation         30.00 
+#>  Kurtosis                -0.02      Std Error Mean           1.07 
+#> 
+#>                               Quantiles                               
+#> 
+#>               Quantile                            Value                
+#> 
+#>              Max                                  33.90                
+#>              99%                                  33.44                
+#>              95%                                  31.30                
+#>              90%                                  30.09                
+#>              Q3                                   22.80                
+#>              Median                               19.20                
+#>              Q1                                   15.43                
+#>              10%                                  14.34                
+#>              5%                                   12.00                
+#>              1%                                   10.40                
+#>              Min                                  10.40                
+#> 
+#>                             Extreme Values                            
+#> 
+#>                 Low                                High                
+#> 
+#>   Obs                        Value       Obs                        Value 
+#>   15                         10.4        20                         33.9  
+#>   16                         10.4        18                         32.4  
+#>   24                         13.3        19                         30.4  
+#>    7                         14.3        28                         30.4  
+#>   17                         14.7        26                         27.3  
+#> 
+#> 
+#> 
+#> NULL
+#> 
+#> 
+#> -------------------------- Frequency Distribution -------------------------
+#> 
+#>                               Variable: mpg                               
+#> |-----------------------------------------------------------------------|
+#> |    Bins     | Frequency | Cum Frequency |   Percent    | Cum Percent  |
+#> |-----------------------------------------------------------------------|
+#> | 10.4 - 15.1 |     6     |       6       |    18.75     |    18.75     |
+#> |-----------------------------------------------------------------------|
+#> | 15.1 - 19.8 |    12     |      18       |     37.5     |    56.25     |
+#> |-----------------------------------------------------------------------|
+#> | 19.8 - 24.5 |     8     |      26       |      25      |    81.25     |
+#> |-----------------------------------------------------------------------|
+#> | 24.5 - 29.2 |     2     |      28       |     6.25     |     87.5     |
+#> |-----------------------------------------------------------------------|
+#> | 29.2 - 33.9 |     4     |      32       |     12.5     |     100      |
+#> |-----------------------------------------------------------------------|
+#> |    Total    |    32     |       -       |    100.00    |      -       |
+#> |-----------------------------------------------------------------------|
+
+
+

+Group Summary

+

The ds_group_summary() function returns descriptive statistics of a continuous variable for the different levels of a categorical variable.

+ +

ds_group_summary() returns a tibble which can be used for further analysis.

+ +
+

+Box Plot

+

A plot() method has been defined for comparing distributions.

+
k <- ds_group_summary(mtcarz, cyl, mpg)
+plot(k)
+

+
+
+

+Multiple Variables

+

If you want grouped summary statistics for multiple variables in a data set, use ds_auto_group_summary().

+
ds_auto_group_summary(mtcarz, cyl, gear, mpg)
+#>                                        mpg by cyl                                         
+#> -----------------------------------------------------------------------------------------
+#> |     Statistic/Levels|                    4|                    6|                    8|
+#> -----------------------------------------------------------------------------------------
+#> |                  Obs|                   11|                    7|                   14|
+#> |              Minimum|                 21.4|                 17.8|                 10.4|
+#> |              Maximum|                 33.9|                 21.4|                 19.2|
+#> |                 Mean|                26.66|                19.74|                 15.1|
+#> |               Median|                   26|                 19.7|                 15.2|
+#> |                 Mode|                 22.8|                   21|                 10.4|
+#> |       Std. Deviation|                 4.51|                 1.45|                 2.56|
+#> |             Variance|                20.34|                 2.11|                 6.55|
+#> |             Skewness|                 0.35|                -0.26|                -0.46|
+#> |             Kurtosis|                -1.43|                -1.83|                 0.33|
+#> |       Uncorrected SS|              8023.83|              2741.14|              3277.34|
+#> |         Corrected SS|               203.39|                12.68|                 85.2|
+#> |      Coeff Variation|                16.91|                 7.36|                16.95|
+#> |      Std. Error Mean|                 1.36|                 0.55|                 0.68|
+#> |                Range|                 12.5|                  3.6|                  8.8|
+#> |  Interquartile Range|                  7.6|                 2.35|                 1.85|
+#> -----------------------------------------------------------------------------------------
+#> 
+#> 
+#> 
+#>                                        mpg by gear                                        
+#> -----------------------------------------------------------------------------------------
+#> |     Statistic/Levels|                    3|                    4|                    5|
+#> -----------------------------------------------------------------------------------------
+#> |                  Obs|                   15|                   12|                    5|
+#> |              Minimum|                 10.4|                 17.8|                   15|
+#> |              Maximum|                 21.5|                 33.9|                 30.4|
+#> |                 Mean|                16.11|                24.53|                21.38|
+#> |               Median|                 15.5|                 22.8|                 19.7|
+#> |                 Mode|                 10.4|                   21|                   15|
+#> |       Std. Deviation|                 3.37|                 5.28|                 6.66|
+#> |             Variance|                11.37|                27.84|                44.34|
+#> |             Skewness|                -0.09|                  0.7|                 0.56|
+#> |             Kurtosis|                -0.38|                -0.77|                -1.83|
+#> |       Uncorrected SS|              4050.52|               7528.9|              2462.89|
+#> |         Corrected SS|               159.15|               306.29|               177.37|
+#> |      Coeff Variation|                20.93|                21.51|                31.15|
+#> |      Std. Error Mean|                 0.87|                 1.52|                 2.98|
+#> |                Range|                 11.1|                 16.1|                 15.4|
+#> |  Interquartile Range|                  3.9|                 7.08|                 10.2|
+#> -----------------------------------------------------------------------------------------
+
+
+ +
+

+Measures

+

If you want to view the measure of location, variation, symmetry, percentiles and extreme observations as tibbles, use the below functions. All of them, except for ds_extreme_obs() will work with single or multiple variables. If you do not specify the variables, they will return the results for all the continuous variables in the data set.

+ + + + + +
+
+ + + +
+ + + +
+ + + + + diff --git a/docs/articles/descriptive-stats_files/figure-html/fcont_hist-1.png b/docs/articles/continuous-data_files/figure-html/fcont_hist-1.png similarity index 100% rename from docs/articles/descriptive-stats_files/figure-html/fcont_hist-1.png rename to docs/articles/continuous-data_files/figure-html/fcont_hist-1.png diff --git a/docs/articles/descriptive-stats_files/figure-html/gsum_boxplot-1.png b/docs/articles/continuous-data_files/figure-html/gsum_boxplot-1.png similarity index 100% rename from docs/articles/descriptive-stats_files/figure-html/gsum_boxplot-1.png rename to docs/articles/continuous-data_files/figure-html/gsum_boxplot-1.png diff --git a/docs/articles/descriptive-stats.html b/docs/articles/descriptive-stats.html deleted file mode 100644 index f304458..0000000 --- a/docs/articles/descriptive-stats.html +++ /dev/null @@ -1,747 +0,0 @@ - - - - - - - -Introduction to descriptr • descriptr - - - - - - - - - -
-
- - - -
-
-
-

Introduction to descriptr

- - - Source: vignettes/descriptive-stats.Rmd - - -
- - - -
-

-Introduction

-

Descriptive statistics are used to summarize data. It enables us to present the data in a more meaningful way and to discern any patterns existing in the data. They can be useful for two purposes:

-
    -
  • provide basic information about variables in a data set
    • -
  • highlight potential relationships between variables
    • -
-

This document introduces you to a basic set of functions that describe data. There is a second vignette which provides details about functions which help visualize statistical distributions.

-
-
-

-Data

-

We have modified the mtcars data to create a new data set mtcarz. The only difference between the two data sets is related to the variable types.

-
str(mtcarz)
-
## 'data.frame':    32 obs. of  11 variables:
-##  $ mpg : num  21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
-##  $ cyl : Factor w/ 3 levels "4","6","8": 2 2 1 2 3 2 3 1 1 2 ...
-##  $ disp: num  160 160 108 258 360 ...
-##  $ hp  : num  110 110 93 110 175 105 245 62 95 123 ...
-##  $ drat: num  3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
-##  $ wt  : num  2.62 2.88 2.32 3.21 3.44 ...
-##  $ qsec: num  16.5 17 18.6 19.4 17 ...
-##  $ vs  : Factor w/ 2 levels "0","1": 1 1 2 2 1 2 1 2 2 2 ...
-##  $ am  : Factor w/ 2 levels "0","1": 2 2 2 1 1 1 1 1 1 1 ...
-##  $ gear: Factor w/ 3 levels "3","4","5": 2 2 2 1 1 1 1 2 2 2 ...
-##  $ carb: Factor w/ 6 levels "1","2","3","4",..: 4 4 1 1 2 1 4 2 2 4 ...
-
-
-

-Data Screening

-

The ds_screener() function will screen a data set and return the following: - Column/Variable Names - Data Type - Levels (in case of categorical data) - Number of missing observations - % of missing observations

-
ds_screener(mtcarz)
-
## -----------------------------------------------------------------------
-## |  Column Name  |  Data Type  |  Levels   |  Missing  |  Missing (%)  |
-## -----------------------------------------------------------------------
-## |      mpg      |   numeric   |    NA     |     0     |       0       |
-## |      cyl      |   factor    |   4 6 8   |     0     |       0       |
-## |     disp      |   numeric   |    NA     |     0     |       0       |
-## |      hp       |   numeric   |    NA     |     0     |       0       |
-## |     drat      |   numeric   |    NA     |     0     |       0       |
-## |      wt       |   numeric   |    NA     |     0     |       0       |
-## |     qsec      |   numeric   |    NA     |     0     |       0       |
-## |      vs       |   factor    |    0 1    |     0     |       0       |
-## |      am       |   factor    |    0 1    |     0     |       0       |
-## |     gear      |   factor    |   3 4 5   |     0     |       0       |
-## |     carb      |   factor    |1 2 3 4 6 8|     0     |       0       |
-## -----------------------------------------------------------------------
-## 
-##  Overall Missing Values           0 
-##  Percentage of Missing Values     0 %
-##  Rows with Missing Values         0 
-##  Columns With Missing Values      0
-
-
-

-Summary Statistics

-

The ds_summary_stats function returns a comprehensive set of statistics for continuous data.

-
ds_summary_stats(mtcarz, mpg)
-
##                         Univariate Analysis                          
-## 
-##  N                       32.00      Variance                36.32 
-##  Missing                  0.00      Std Deviation            6.03 
-##  Mean                    20.09      Range                   23.50 
-##  Median                  19.20      Interquartile Range      7.38 
-##  Mode                    10.40      Uncorrected SS       14042.31 
-##  Trimmed Mean            19.95      Corrected SS          1126.05 
-##  Skewness                 0.67      Coeff Variation         30.00 
-##  Kurtosis                -0.02      Std Error Mean           1.07 
-## 
-##                               Quantiles                               
-## 
-##               Quantile                            Value                
-## 
-##              Max                                  33.90                
-##              99%                                  33.44                
-##              95%                                  31.30                
-##              90%                                  30.09                
-##              Q3                                   22.80                
-##              Median                               19.20                
-##              Q1                                   15.43                
-##              10%                                  14.34                
-##              5%                                   12.00                
-##              1%                                   10.40                
-##              Min                                  10.40                
-## 
-##                             Extreme Values                            
-## 
-##                 Low                                High                
-## 
-##   Obs                        Value       Obs                        Value 
-##   15                         10.4        20                         33.9  
-##   16                         10.4        18                         32.4  
-##   24                         13.3        19                         30.4  
-##    7                         14.3        28                         30.4  
-##   17                         14.7        26                         27.3
-
-
-

-Cross Tabulation

-

The ds_cross_table() function creates two way tables of categorical variables.

-
ds_cross_table(mtcarz, cyl, gear)
-
##     Cell Contents
-##  |---------------|
-##  |     Frequency |
-##  |       Percent |
-##  |       Row Pct |
-##  |       Col Pct |
-##  |---------------|
-## 
-##  Total Observations:  32 
-## 
-## ----------------------------------------------------------------------------
-## |              |                           gear                            |
-## ----------------------------------------------------------------------------
-## |          cyl |            3 |            4 |            5 |    Row Total |
-## ----------------------------------------------------------------------------
-## |            4 |            1 |            8 |            2 |           11 |
-## |              |        0.031 |         0.25 |        0.062 |              |
-## |              |         0.09 |         0.73 |         0.18 |         0.34 |
-## |              |         0.07 |         0.67 |          0.4 |              |
-## ----------------------------------------------------------------------------
-## |            6 |            2 |            4 |            1 |            7 |
-## |              |        0.062 |        0.125 |        0.031 |              |
-## |              |         0.29 |         0.57 |         0.14 |         0.22 |
-## |              |         0.13 |         0.33 |          0.2 |              |
-## ----------------------------------------------------------------------------
-## |            8 |           12 |            0 |            2 |           14 |
-## |              |        0.375 |            0 |        0.062 |              |
-## |              |         0.86 |            0 |         0.14 |         0.44 |
-## |              |          0.8 |            0 |          0.4 |              |
-## ----------------------------------------------------------------------------
-## | Column Total |           15 |           12 |            5 |           32 |
-## |              |        0.468 |        0.375 |        0.155 |              |
-## ----------------------------------------------------------------------------
-

ds_twoway_table() will return a tibble.

-
ds_twoway_table(mtcarz, cyl, gear)
-
## Joining, by = c("cyl", "gear", "count")
-
## # A tibble: 8 x 6
-##   cyl   gear  count percent row_percent col_percent
-##   <fct> <fct> <int>   <dbl>       <dbl>       <dbl>
-## 1 4     3         1  0.0312      0.0909      0.0667
-## 2 4     4         8  0.25        0.727       0.667 
-## 3 4     5         2  0.0625      0.182       0.4   
-## 4 6     3         2  0.0625      0.286       0.133 
-## 5 6     4         4  0.125       0.571       0.333 
-## 6 6     5         1  0.0312      0.143       0.2   
-## 7 8     3        12  0.375       0.857       0.8   
-## 8 8     5         2  0.0625      0.143       0.4
-

A plot method has been defined which will generate:

-
-

-Grouped Bar Plots

-
k <- ds_cross_table(mtcarz, cyl, gear)
-plot(k)
-

-
-
-

-Stacked Bar Plots

-
k <- ds_cross_table(mtcarz, cyl, gear)
-plot(k, stacked = TRUE)
-

-
-
-

-Proportional Bar Plots

-
k <- ds_cross_table(mtcarz, cyl, gear)
-plot(k, proportional = TRUE)
-

-
-
-
-

-Frequency Table (Categorical Data)

-

The ds_freq_table() function creates frequency tables for categorical variables.

-
ds_freq_table(mtcarz, cyl)
-
##                              Variable: cyl                              
-## -----------------------------------------------------------------------
-## Levels     Frequency    Cum Frequency       Percent        Cum Percent  
-## -----------------------------------------------------------------------
-##    4          11             11              34.38            34.38    
-## -----------------------------------------------------------------------
-##    6           7             18              21.88            56.25    
-## -----------------------------------------------------------------------
-##    8          14             32              43.75             100     
-## -----------------------------------------------------------------------
-##  Total        32              -             100.00              -      
-## -----------------------------------------------------------------------
-
-

-Bar Plot

-

A barplot method has been defined.

-
k <- ds_freq_table(mtcarz, cyl)
-plot(k)
-

-
-
-
-

-Frequency Table (Continuous Data)

-

The ds_freq_cont function creates frequency tables for continuous variables. The default number of intervals is 5.

-
ds_freq_cont(mtcarz, mpg, 4)
-
##                                 Variable: mpg                                 
-## |---------------------------------------------------------------------------|
-## |      Bins       | Frequency | Cum Frequency |   Percent    | Cum Percent  |
-## |---------------------------------------------------------------------------|
-## |  10.4  -  16.3  |    10     |      10       |    31.25     |    31.25     |
-## |---------------------------------------------------------------------------|
-## |  16.3  -  22.1  |    13     |      23       |    40.62     |    71.88     |
-## |---------------------------------------------------------------------------|
-## |  22.1  -   28   |     5     |      28       |    15.62     |     87.5     |
-## |---------------------------------------------------------------------------|
-## |   28   -  33.9  |     4     |      32       |     12.5     |     100      |
-## |---------------------------------------------------------------------------|
-## |      Total      |    32     |       -       |    100.00    |      -       |
-## |---------------------------------------------------------------------------|
-
-

-Histogram

-

A hist method has been defined.

-
k <- ds_freq_cont(mtcarz, mpg, 4)
-plot(k)
-

-
-
-
-

-Group Summary

-

The ds_group_summary() function returns descriptive statistics of a continuous variable for the different levels of a categorical variable.

-
k <- ds_group_summary(mtcarz, cyl, mpg)
-k
-
##                                        mpg by cyl                                         
-## -----------------------------------------------------------------------------------------
-## |     Statistic/Levels|                    4|                    6|                    8|
-## -----------------------------------------------------------------------------------------
-## |                  Obs|                   11|                    7|                   14|
-## |              Minimum|                 21.4|                 17.8|                 10.4|
-## |              Maximum|                 33.9|                 21.4|                 19.2|
-## |                 Mean|                26.66|                19.74|                 15.1|
-## |               Median|                   26|                 19.7|                 15.2|
-## |                 Mode|                 22.8|                   21|                 10.4|
-## |       Std. Deviation|                 4.51|                 1.45|                 2.56|
-## |             Variance|                20.34|                 2.11|                 6.55|
-## |             Skewness|                 0.35|                -0.26|                -0.46|
-## |             Kurtosis|                -1.43|                -1.83|                 0.33|
-## |       Uncorrected SS|              8023.83|              2741.14|              3277.34|
-## |         Corrected SS|               203.39|                12.68|                 85.2|
-## |      Coeff Variation|                16.91|                 7.36|                16.95|
-## |      Std. Error Mean|                 1.36|                 0.55|                 0.68|
-## |                Range|                 12.5|                  3.6|                  8.8|
-## |  Interquartile Range|                  7.6|                 2.35|                 1.85|
-## -----------------------------------------------------------------------------------------
-

ds_group_summary() returns a tibble which can be used for further analysis.

-
k$tidy_stats
-
## # A tibble: 3 x 15
-##   cyl   length   min   max  mean median  mode    sd variance skewness
-##   <fct>  <int> <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl>    <dbl>    <dbl>
-## 1 4         11  21.4  33.9  26.7   26    22.8  4.51    20.3     0.348
-## 2 6          7  17.8  21.4  19.7   19.7  21    1.45     2.11   -0.259
-## 3 8         14  10.4  19.2  15.1   15.2  10.4  2.56     6.55   -0.456
-## # ... with 5 more variables: kurtosis <dbl>, coeff_var <dbl>,
-## #   std_error <dbl>, range <dbl>, iqr <dbl>
-
-

-Box Plot

-

A boxplot() method has been defined.

-
k <- ds_group_summary(mtcarz, cyl, mpg)
-plot(k)
-

-
-
-
-

-Multiple Variable Statistics

-

The ds_multi_stats() function generates summary/descriptive statistics for variables in a data frame/tibble.

-
ds_multi_stats(mtcarz, mpg, disp, hp)
-
## # A tibble: 3 x 16
-##   vars    min   max  mean t_mean median  mode range variance  stdev  skew
-##   <chr> <dbl> <dbl> <dbl>  <dbl>  <dbl> <dbl> <dbl>    <dbl>  <dbl> <dbl>
-## 1 disp   71.1 472   231.   228    196.  276.  401.   15361.  124.   0.420
-## 2 hp     52   335   147.   144.   123   110   283     4701.   68.6  0.799
-## 3 mpg    10.4  33.9  20.1   20.0   19.2  10.4  23.5     36.3   6.03 0.672
-## # ... with 5 more variables: kurtosis <dbl>, coeff_var <dbl>, q1 <dbl>,
-## #   q3 <dbl>, iqrange <dbl>
-
-
-

-Multiple One Way Tables

-

The ds_oway_tables() function creates multiple one way tables by creating a frequency table for each categorical variable in a data frame.

-
ds_oway_tables(mtcarz)
-
##                              Variable: cyl                              
-## -----------------------------------------------------------------------
-## Levels     Frequency    Cum Frequency       Percent        Cum Percent  
-## -----------------------------------------------------------------------
-##    4          11             11              34.38            34.38    
-## -----------------------------------------------------------------------
-##    6           7             18              21.88            56.25    
-## -----------------------------------------------------------------------
-##    8          14             32              43.75             100     
-## -----------------------------------------------------------------------
-##  Total        32              -             100.00              -      
-## -----------------------------------------------------------------------
-## 
-##                              Variable: vs                               
-## -----------------------------------------------------------------------
-## Levels     Frequency    Cum Frequency       Percent        Cum Percent  
-## -----------------------------------------------------------------------
-##    0          18             18              56.25            56.25    
-## -----------------------------------------------------------------------
-##    1          14             32              43.75             100     
-## -----------------------------------------------------------------------
-##  Total        32              -             100.00              -      
-## -----------------------------------------------------------------------
-## 
-##                              Variable: am                               
-## -----------------------------------------------------------------------
-## Levels     Frequency    Cum Frequency       Percent        Cum Percent  
-## -----------------------------------------------------------------------
-##    0          19             19              59.38            59.38    
-## -----------------------------------------------------------------------
-##    1          13             32              40.62             100     
-## -----------------------------------------------------------------------
-##  Total        32              -             100.00              -      
-## -----------------------------------------------------------------------
-## 
-##                             Variable: gear                              
-## -----------------------------------------------------------------------
-## Levels     Frequency    Cum Frequency       Percent        Cum Percent  
-## -----------------------------------------------------------------------
-##    3          15             15              46.88            46.88    
-## -----------------------------------------------------------------------
-##    4          12             27              37.5             84.38    
-## -----------------------------------------------------------------------
-##    5           5             32              15.62             100     
-## -----------------------------------------------------------------------
-##  Total        32              -             100.00              -      
-## -----------------------------------------------------------------------
-## 
-##                             Variable: carb                              
-## -----------------------------------------------------------------------
-## Levels     Frequency    Cum Frequency       Percent        Cum Percent  
-## -----------------------------------------------------------------------
-##    1           7              7              21.88            21.88    
-## -----------------------------------------------------------------------
-##    2          10             17              31.25            53.12    
-## -----------------------------------------------------------------------
-##    3           3             20              9.38             62.5     
-## -----------------------------------------------------------------------
-##    4          10             30              31.25            93.75    
-## -----------------------------------------------------------------------
-##    6           1             31              3.12             96.88    
-## -----------------------------------------------------------------------
-##    8           1             32              3.12              100     
-## -----------------------------------------------------------------------
-##  Total        32              -             100.00              -      
-## -----------------------------------------------------------------------
-
-
-

-Multiple Two Way Tables

-

The ds_tway_tables() function creates multiple two way tables by creating a cross table for each unique pair of categorical variables in a data frame.

-
ds_tway_tables(mtcarz)
-
##     Cell Contents
-##  |---------------|
-##  |     Frequency |
-##  |       Percent |
-##  |       Row Pct |
-##  |       Col Pct |
-##  |---------------|
-## 
-##  Total Observations:  32 
-## 
-##                          cyl vs vs                           
-## -------------------------------------------------------------
-## |              |                     vs                     |
-## -------------------------------------------------------------
-## |          cyl |            0 |            1 |    Row Total |
-## -------------------------------------------------------------
-## |            4 |            1 |           10 |           11 |
-## |              |        0.031 |        0.312 |              |
-## |              |         0.09 |         0.91 |         0.34 |
-## |              |         0.06 |         0.71 |              |
-## -------------------------------------------------------------
-## |            6 |            3 |            4 |            7 |
-## |              |        0.094 |        0.125 |              |
-## |              |         0.43 |         0.57 |         0.22 |
-## |              |         0.17 |         0.29 |              |
-## -------------------------------------------------------------
-## |            8 |           14 |            0 |           14 |
-## |              |        0.438 |            0 |              |
-## |              |            1 |            0 |         0.44 |
-## |              |         0.78 |            0 |              |
-## -------------------------------------------------------------
-## | Column Total |           18 |           14 |           32 |
-## |              |        0.563 |        0.437 |              |
-## -------------------------------------------------------------
-## 
-## 
-##                          cyl vs am                           
-## -------------------------------------------------------------
-## |              |                     am                     |
-## -------------------------------------------------------------
-## |          cyl |            0 |            1 |    Row Total |
-## -------------------------------------------------------------
-## |            4 |            3 |            8 |           11 |
-## |              |        0.094 |         0.25 |              |
-## |              |         0.27 |         0.73 |         0.34 |
-## |              |         0.16 |         0.62 |              |
-## -------------------------------------------------------------
-## |            6 |            4 |            3 |            7 |
-## |              |        0.125 |        0.094 |              |
-## |              |         0.57 |         0.43 |         0.22 |
-## |              |         0.21 |         0.23 |              |
-## -------------------------------------------------------------
-## |            8 |           12 |            2 |           14 |
-## |              |        0.375 |        0.062 |              |
-## |              |         0.86 |         0.14 |         0.44 |
-## |              |         0.63 |         0.15 |              |
-## -------------------------------------------------------------
-## | Column Total |           19 |           13 |           32 |
-## |              |        0.594 |        0.406 |              |
-## -------------------------------------------------------------
-## 
-## 
-##                                 cyl vs gear                                 
-## ----------------------------------------------------------------------------
-## |              |                           gear                            |
-## ----------------------------------------------------------------------------
-## |          cyl |            3 |            4 |            5 |    Row Total |
-## ----------------------------------------------------------------------------
-## |            4 |            1 |            8 |            2 |           11 |
-## |              |        0.031 |         0.25 |        0.062 |              |
-## |              |         0.09 |         0.73 |         0.18 |         0.34 |
-## |              |         0.07 |         0.67 |          0.4 |              |
-## ----------------------------------------------------------------------------
-## |            6 |            2 |            4 |            1 |            7 |
-## |              |        0.062 |        0.125 |        0.031 |              |
-## |              |         0.29 |         0.57 |         0.14 |         0.22 |
-## |              |         0.13 |         0.33 |          0.2 |              |
-## ----------------------------------------------------------------------------
-## |            8 |           12 |            0 |            2 |           14 |
-## |              |        0.375 |            0 |        0.062 |              |
-## |              |         0.86 |            0 |         0.14 |         0.44 |
-## |              |          0.8 |            0 |          0.4 |              |
-## ----------------------------------------------------------------------------
-## | Column Total |           15 |           12 |            5 |           32 |
-## |              |        0.468 |        0.375 |        0.155 |              |
-## ----------------------------------------------------------------------------
-## 
-## 
-##                                                       cyl vs carb                                                        
-## -------------------------------------------------------------------------------------------------------------------------
-## |              |                                                  carb                                                  |
-## -------------------------------------------------------------------------------------------------------------------------
-## |          cyl |            1 |            2 |            3 |            4 |            6 |            8 |    Row Total |
-## -------------------------------------------------------------------------------------------------------------------------
-## |            4 |            5 |            6 |            0 |            0 |            0 |            0 |           11 |
-## |              |        0.156 |        0.188 |            0 |            0 |            0 |            0 |              |
-## |              |         0.45 |         0.55 |            0 |            0 |            0 |            0 |         0.34 |
-## |              |         0.71 |          0.6 |            0 |            0 |            0 |            0 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## |            6 |            2 |            0 |            0 |            4 |            1 |            0 |            7 |
-## |              |        0.062 |            0 |            0 |        0.125 |        0.031 |            0 |              |
-## |              |         0.29 |            0 |            0 |         0.57 |         0.14 |            0 |         0.22 |
-## |              |         0.29 |            0 |            0 |          0.4 |            1 |            0 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## |            8 |            0 |            4 |            3 |            6 |            0 |            1 |           14 |
-## |              |            0 |        0.125 |        0.094 |        0.188 |            0 |        0.031 |              |
-## |              |            0 |         0.29 |         0.21 |         0.43 |            0 |         0.07 |         0.44 |
-## |              |            0 |          0.4 |            1 |          0.6 |            0 |            1 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## | Column Total |            7 |           10 |            3 |           10 |            1 |            1 |           32 |
-## |              |        0.218 |        0.313 |        0.094 |        0.313 |        0.031 |        0.031 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## 
-## 
-##                           vs vs am                           
-## -------------------------------------------------------------
-## |              |                     am                     |
-## -------------------------------------------------------------
-## |           vs |            0 |            1 |    Row Total |
-## -------------------------------------------------------------
-## |            0 |           12 |            6 |           18 |
-## |              |        0.375 |        0.188 |              |
-## |              |         0.67 |         0.33 |         0.56 |
-## |              |         0.63 |         0.46 |              |
-## -------------------------------------------------------------
-## |            1 |            7 |            7 |           14 |
-## |              |        0.219 |        0.219 |              |
-## |              |          0.5 |          0.5 |         0.44 |
-## |              |         0.37 |         0.54 |              |
-## -------------------------------------------------------------
-## | Column Total |           19 |           13 |           32 |
-## |              |        0.594 |        0.407 |              |
-## -------------------------------------------------------------
-## 
-## 
-##                                 vs vs gear                                  
-## ----------------------------------------------------------------------------
-## |              |                           gear                            |
-## ----------------------------------------------------------------------------
-## |           vs |            3 |            4 |            5 |    Row Total |
-## ----------------------------------------------------------------------------
-## |            0 |           12 |            2 |            4 |           18 |
-## |              |        0.375 |        0.062 |        0.125 |              |
-## |              |         0.67 |         0.11 |         0.22 |         0.56 |
-## |              |          0.8 |         0.17 |          0.8 |              |
-## ----------------------------------------------------------------------------
-## |            1 |            3 |           10 |            1 |           14 |
-## |              |        0.094 |        0.312 |        0.031 |              |
-## |              |         0.21 |         0.71 |         0.07 |         0.44 |
-## |              |          0.2 |         0.83 |          0.2 |              |
-## ----------------------------------------------------------------------------
-## | Column Total |           15 |           12 |            5 |           32 |
-## |              |        0.469 |        0.374 |        0.156 |              |
-## ----------------------------------------------------------------------------
-## 
-## 
-##                                                        vs vs carb                                                        
-## -------------------------------------------------------------------------------------------------------------------------
-## |              |                                                  carb                                                  |
-## -------------------------------------------------------------------------------------------------------------------------
-## |           vs |            1 |            2 |            3 |            4 |            6 |            8 |    Row Total |
-## -------------------------------------------------------------------------------------------------------------------------
-## |            0 |            0 |            5 |            3 |            8 |            1 |            1 |           18 |
-## |              |            0 |        0.156 |        0.094 |         0.25 |        0.031 |        0.031 |              |
-## |              |            0 |         0.28 |         0.17 |         0.44 |         0.06 |         0.06 |         0.56 |
-## |              |            0 |          0.5 |            1 |          0.8 |            1 |            1 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## |            1 |            7 |            5 |            0 |            2 |            0 |            0 |           14 |
-## |              |        0.219 |        0.156 |            0 |        0.062 |            0 |            0 |              |
-## |              |          0.5 |         0.36 |            0 |         0.14 |            0 |            0 |         0.44 |
-## |              |            1 |          0.5 |            0 |          0.2 |            0 |            0 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## | Column Total |            7 |           10 |            3 |           10 |            1 |            1 |           32 |
-## |              |        0.219 |        0.312 |        0.094 |        0.312 |        0.031 |        0.031 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## 
-## 
-##                                 am vs gear                                  
-## ----------------------------------------------------------------------------
-## |              |                           gear                            |
-## ----------------------------------------------------------------------------
-## |           am |            3 |            4 |            5 |    Row Total |
-## ----------------------------------------------------------------------------
-## |            0 |           15 |            4 |            0 |           19 |
-## |              |        0.469 |        0.125 |            0 |              |
-## |              |         0.79 |         0.21 |            0 |         0.59 |
-## |              |            1 |         0.33 |            0 |              |
-## ----------------------------------------------------------------------------
-## |            1 |            0 |            8 |            5 |           13 |
-## |              |            0 |         0.25 |        0.156 |              |
-## |              |            0 |         0.62 |         0.38 |         0.41 |
-## |              |            0 |         0.67 |            1 |              |
-## ----------------------------------------------------------------------------
-## | Column Total |           15 |           12 |            5 |           32 |
-## |              |        0.469 |        0.375 |        0.156 |              |
-## ----------------------------------------------------------------------------
-## 
-## 
-##                                                        am vs carb                                                        
-## -------------------------------------------------------------------------------------------------------------------------
-## |              |                                                  carb                                                  |
-## -------------------------------------------------------------------------------------------------------------------------
-## |           am |            1 |            2 |            3 |            4 |            6 |            8 |    Row Total |
-## -------------------------------------------------------------------------------------------------------------------------
-## |            0 |            3 |            6 |            3 |            7 |            0 |            0 |           19 |
-## |              |        0.094 |        0.188 |        0.094 |        0.219 |            0 |            0 |              |
-## |              |         0.16 |         0.32 |         0.16 |         0.37 |            0 |            0 |          0.6 |
-## |              |         0.43 |          0.6 |            1 |          0.7 |            0 |            0 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## |            1 |            4 |            4 |            0 |            3 |            1 |            1 |           13 |
-## |              |        0.125 |        0.125 |            0 |        0.094 |        0.031 |        0.031 |              |
-## |              |         0.31 |         0.31 |            0 |         0.23 |         0.08 |         0.08 |         0.41 |
-## |              |         0.57 |          0.4 |            0 |          0.3 |            1 |            1 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## | Column Total |            7 |           10 |            3 |           10 |            1 |            1 |           32 |
-## |              |        0.219 |        0.313 |        0.094 |        0.313 |        0.031 |        0.031 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## 
-## 
-##                                                       gear vs carb                                                       
-## -------------------------------------------------------------------------------------------------------------------------
-## |              |                                                  carb                                                  |
-## -------------------------------------------------------------------------------------------------------------------------
-## |         gear |            1 |            2 |            3 |            4 |            6 |            8 |    Row Total |
-## -------------------------------------------------------------------------------------------------------------------------
-## |            3 |            3 |            4 |            3 |            5 |            0 |            0 |           15 |
-## |              |        0.094 |        0.125 |        0.094 |        0.156 |            0 |            0 |              |
-## |              |          0.2 |         0.27 |          0.2 |         0.33 |            0 |            0 |         0.47 |
-## |              |         0.43 |          0.4 |            1 |          0.5 |            0 |            0 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## |            4 |            4 |            4 |            0 |            4 |            0 |            0 |           12 |
-## |              |        0.125 |        0.125 |            0 |        0.125 |            0 |            0 |              |
-## |              |         0.33 |         0.33 |            0 |         0.33 |            0 |            0 |         0.38 |
-## |              |         0.57 |          0.4 |            0 |          0.4 |            0 |            0 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## |            5 |            0 |            2 |            0 |            1 |            1 |            1 |            5 |
-## |              |            0 |        0.062 |            0 |        0.031 |        0.031 |        0.031 |              |
-## |              |            0 |          0.4 |            0 |          0.2 |          0.2 |          0.2 |         0.16 |
-## |              |            0 |          0.2 |            0 |          0.1 |            1 |            1 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-## | Column Total |            7 |           10 |            3 |           10 |            1 |            1 |           32 |
-## |              |        0.219 |        0.312 |        0.094 |        0.312 |        0.031 |        0.031 |              |
-## -------------------------------------------------------------------------------------------------------------------------
-
-
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- - - -
- - - - - diff --git a/docs/articles/descriptive-stats_files/figure-html/mosaic-1.png b/docs/articles/descriptive-stats_files/figure-html/mosaic-1.png deleted file mode 100644 index cd7738a..0000000 Binary files a/docs/articles/descriptive-stats_files/figure-html/mosaic-1.png and /dev/null differ diff --git a/docs/articles/distributions.html b/docs/articles/distributions.html deleted file mode 100644 index d1d7c6a..0000000 --- a/docs/articles/distributions.html +++ /dev/null @@ -1,596 +0,0 @@ - - - - - - - -Exploring Distributions • descriptr - - - - - - - - - -
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- - - -
-
-
-

Exploring Distributions

- - - Source: vignettes/distributions.Rmd - - -
- - - -

In exploring statistical distributions, we focus on the following:

-
    -
  • what influences the shape of a distribution
    • -
  • calculate probability from a given quantile
    • -
  • calculate quantiles out of given probability
    • -
-

To explore the above 3 concepts, we have defined functions for the following distributions:

-
    -
  • Normal
    • -
  • Binomial
    • -
  • Chi Square
    • -
  • F
    • -
  • t
    • -
-
-

-Normal Distribution

-
-

-Distribution Shape

-

Visualize how changes in mean and standard deviation affect the shape of the normal distribution.

-
-
-Input
-
    -
  • mean: mean of the normal distribution
    • -
  • sd: standard deviation of the normal distribution
    • -
-
-
-
-Output
-
    -
  • Normal distribution plot
    • -
-
dist_norm_plot(mean = 2, sd = 0.6)
-
## Warning in dist_norm_plot(mean = 2, sd = 0.6): `dist_normal_plot()`
-## has been soft deprecated and will be removed in the next version of
-## descriptr. Please use the vistributions package for visualizing probability
-## distributions.
-

-
-
-
-

-Percentiles

-
-

-Calculate and visualize quantiles out of given probability.

-
-
-Input
-
    -
  • probs: a probability value
    • -
  • mean: mean of the normal distribution
    • -
  • sd: standard deviation of the normal distribution
    • -
  • type: lower/upper tail
    • -
-

Suppose X, the grade on a exam, is normally distributed with mean 60 and standard deviation 3. The teacher wants to give 10% of the class an A. What should be the cutoff to determine who gets an A?

-
dist_norm_perc(0.10, 60, 3, 'upper')
-
## Warning in dist_norm_perc(0.1, 60, 3, "upper"): `dist_normal_perc()`
-## has been soft deprecated and will be removed in the next version of
-## descriptr. Please use the vistributions package for visualizing probability
-## distributions.
-

-

The teacher wants to give lower 15% of the class a D. What cutoff should the teacher use to determine who gets an D?

-
dist_norm_perc(0.85, 60, 3, 'lower')
-
## Warning in dist_norm_perc(0.85, 60, 3, "lower"): `dist_normal_perc()`
-## has been soft deprecated and will be removed in the next version of
-## descriptr. Please use the vistributions package for visualizing probability
-## distributions.
-

-

The teacher wants to give middle 50% of the class a B. What cutoff should the teacher use to determine who gets an B?

-
dist_norm_perc(0.5, 60, 3, 'both')
-
## Warning in dist_norm_perc(0.5, 60, 3, "both"): `dist_normal_perc()`
-## has been soft deprecated and will be removed in the next version of
-## descriptr. Please use the vistributions package for visualizing probability
-## distributions.
-

-
-
-
-
-

-Probabilities

-
-

-Calculate and visualize probability from a given quantile

-
-
-Input
-
    -
  • perc: a quantile value
    • -
  • mean: mean of the normal distribution
    • -
  • sd: standard deviation of the normal distribution
    • -
  • type: lower/upper/both tail
    • -
-

Let X be the IQ of a randomly selected student of a school. Assume X ~ N(90, 4). What is the probability that a randomly selected student has an IQ below 80?

-
dist_norm_prob(80, mean = 90, sd = 4)
-
## Warning in dist_norm_prob(80, mean = 90, sd = 4): `dist_normal_prob()`
-## has been soft deprecated and will be removed in the next version of
-## descriptr. Please use the vistributions package for visualizing probability
-## distributions.
-

-

What is the probability that a randomly selected student has an IQ above 100?

-
dist_norm_prob(100, mean = 90, sd = 4, type = 'upper')
-
## Warning in dist_norm_prob(100, mean = 90, sd = 4, type = "upper"):
-## `dist_normal_prob()` has been soft deprecated and will be removed in
-## the next version of descriptr. Please use the vistributions package for
-## visualizing probability distributions.
-

-

What is the probability that a randomly selected student has an IQ between 85 and 100?

-
dist_norm_prob(c(85, 100), mean = 90, sd = 4, type = 'both')
-
## Warning in dist_norm_prob(c(85, 100), mean = 90, sd = 4, type = "both"):
-## `dist_normal_prob()` has been soft deprecated and will be removed in
-## the next version of descriptr. Please use the vistributions package for
-## visualizing probability distributions.
-

-
-
-
-
-
-

-Binomial Distribution

-
-

-Distribution Shape

-

Visualize how changes in number of trials and the probability of success affect the shape of the binomial distribution.

- -
## Warning in dist_binom_plot(10, 0.3): `dist_binom_plot()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-
-
-

-Percentiles

-
-

-Calculate and visualize quantiles out of given probability

-
-
-Input
-
    -
  • p: a single aggregated probability of multiple trials
    • -
  • n: the number of trials
    • -
  • tp: the probability of success in a trial
    • -
  • type: lower/upper tail
    • -
-
dist_binom_perc(10, 0.5, 0.05)
-
## Warning in dist_binom_perc(10, 0.5, 0.05): `dist_binom_perc()` has been
-## soft deprecated and will be removed in the next version of descriptr.
-## Please use the vistributions package for visualizing probability
-## distributions.
-

-
dist_binom_perc(10, 0.5, 0.05, 'upper')
-
## Warning in dist_binom_perc(10, 0.5, 0.05, "upper"): `dist_binom_perc()`
-## has been soft deprecated and will be removed in the next version of
-## descriptr. Please use the vistributions package for visualizing probability
-## distributions.
-

-
-
-
-
-

-Probabilities

-
-

-Calculate and visualize probability from a given quantile

-
-
-Input
-
    -
  • p: probability of success
    • -
  • n: the number of trials
    • -
  • s: number of success in a trial
    • -
  • type: lower/upper/interval/exact tail
    • -
-

Assume twenty-percent (20%) of Magemill have no health insurance. Randomly sample n = 12 Magemillians. Let X denote the number in the sample with no health insurance. What is the probability that exactly 4 of the 15 sampled have no health insurance?

-
dist_binom_prob(12, 0.2, 4, type = 'exact')
-
## Warning in dist_binom_prob(12, 0.2, 4, type = "exact"): `dist_binom_prob()`
-## has been soft deprecated and will be removed in the next version of
-## descriptr. Please use the vistributions package for visualizing probability
-## distributions.
-

-

What is the probability that at most one of those sampled has no health insurance?

-
dist_binom_prob(12, 0.2, 1, 'lower')
-
## Warning in dist_binom_prob(12, 0.2, 1, "lower"): `dist_binom_prob()`
-## has been soft deprecated and will be removed in the next version of
-## descriptr. Please use the vistributions package for visualizing probability
-## distributions.
-

-

What is the probability that more than seven have no health insurance?

-
dist_binom_prob(12, 0.2, 8, 'upper')
-
## Warning in dist_binom_prob(12, 0.2, 8, "upper"): `dist_binom_prob()`
-## has been soft deprecated and will be removed in the next version of
-## descriptr. Please use the vistributions package for visualizing probability
-## distributions.
-

-

What is the probability that fewer than 5 have no health insurance?

-
dist_binom_prob(12, 0.2, c(0, 4), 'interval')
-
## Warning in dist_binom_prob(12, 0.2, c(0, 4), "interval"):
-## `dist_binom_prob()` has been soft deprecated and will be removed in
-## the next version of descriptr. Please use the vistributions package for
-## visualizing probability distributions.
-

-
-
-
-
-
-

-Chi Square Distribution

-
-

-Distribution Shape

-

Visualize how changes in degrees of freedom affect the shape of the chi square distribution.

- -
## Warning in dist_chi_plot(df = 5): `dist_chi_plot()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-
dist_chi_plot(df = 5, normal = TRUE)
-
## Warning in dist_chi_plot(df = 5, normal = TRUE): `dist_chi_plot()`
-## has been soft deprecated and will be removed in the next version of
-## descriptr. Please use the vistributions package for visualizing probability
-## distributions.
-
-
-

-Percentiles

-
-

-Calculate quantiles out of given probability

-
-
-Input
-
    -
  • probs: a probability value
    • -
  • df: degrees of freedom
    • -
  • type: lower/upper tail
    • -
-

Let X be a chi-square random variable with 8 degrees of freedom. What is the upper fifth percentile?

-
dist_chi_perc(0.05, 8, 'upper')
-
## Warning in dist_chi_perc(0.05, 8, "upper"): `dist_chi_perc()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-

What is the tenth percentile?

-
dist_chi_perc(0.10, 8, 'lower')
-
## Warning in dist_chi_perc(0.1, 8, "lower"): `dist_chi_perc()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-
-
-
-
-

-Probability

-
-

-Calculate probability from a given quantile.

-
-
-Input
-
    -
  • perc: a quantile value
    • -
  • df: degrees of freedom
    • -
  • type: lower/upper tail
    • -
-

What is the probability that a chi-square random variable with 12 degrees of freedom is greater than 8.79?

-
dist_chi_prob(8.79, 12, 'upper')
-

-
## Warning in dist_chi_prob(8.79, 12, "upper"): `dist_chi_prob()` has been
-## soft deprecated and will be removed in the next version of descriptr.
-## Please use the vistributions package for visualizing probability
-## distributions.
-

-

What is the probability that a chi-square random variable with 12 degrees of freedom is greater than 8.62?

-
dist_chi_prob(8.62, 12, 'lower')
-

-
## Warning in dist_chi_prob(8.62, 12, "lower"): `dist_chi_prob()` has been
-## soft deprecated and will be removed in the next version of descriptr.
-## Please use the vistributions package for visualizing probability
-## distributions.
-

-
-
-
-
-
-

-F Distribution

-
-

-Distribution Shape

-

Visualize how changes in degrees of freedom affect the shape of the F distribution.

- -
## Warning in dist_f_plot(): `dist_f_plot()` has been soft deprecated and will
-## be removed in the next version of descriptr. Please use the vistributions
-## package for visualizing probability distributions.
-

-
dist_f_plot(6, 10, normal = TRUE)
-
## Warning in dist_f_plot(6, 10, normal = TRUE): `dist_f_plot()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-
-
-

-Percentiles

-
-

-Calculate quantiles out of given probability

-
-
-Input
-
    -
  • probs: a probability value
    • -
  • num_df: nmerator degrees of freedom
    • -
  • den_df: denominator degrees of freedom
    • -
  • type: lower/upper tail
    • -
-

Let X be an F random variable with 4 numerator degrees of freedom and 5 denominator degrees of freedom. What is the upper twenth percentile?

-
dist_f_perc(0.20, 4, 5, 'upper')
-
## Warning in dist_f_perc(0.2, 4, 5, "upper"): `dist_f_perc()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-

What is the 35th percentile?

-
dist_f_perc(0.35, 4, 5, 'lower')
-
## Warning in dist_f_perc(0.35, 4, 5, "lower"): `dist_f_perc()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-
-
-
-
-

-Probabilities

-
-

-Calculate probability from a given quantile.

-
-
-Input
-
    -
  • perc: a quantile value
    • -
  • num_df: nmerator degrees of freedom
    • -
  • den_df: denominator degrees of freedom
    • -
  • type: lower/upper tail
    • -
-

What is the probability that an F random variable with 4 numerator degrees of freedom and 5 denominator degrees of freedom is greater than 3.89?

-
dist_f_prob(3.89, 4, 5, 'upper')
-
## Warning in dist_f_prob(3.89, 4, 5, "upper"): `dist_f_prob()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-

What is the probability that an F random variable with 4 numerator degrees of freedom and 5 denominator degrees of freedom is less than 2.63?

-
dist_f_prob(2.63, 4, 5, 'lower')
-
## Warning in dist_f_prob(2.63, 4, 5, "lower"): `dist_f_prob()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-
-
-
-
-
-

-t Distribution

-
-

-Distribution Shape

-

Visualize how degrees of freedom affect the shape of t distribution.

-
dist_t_plot(df = 8)
-
## Warning in dist_t_plot(df = 8): `dist_t_plot()` has been soft deprecated
-## and will be removed in the next version of descriptr. Please use the
-## vistributions package for visualizing probability distributions.
-

-
-
-

-Percentiles

-
-

-Calculate quantiles out of given probability

-
-
-Input
-
    -
  • probs: a probability value
    • -
  • df: degrees of freedom
    • -
  • type: lower/upper/both tail
    • -
-

What is the upper fifteenth percentile?

-
dist_t_perc(0.15, 8, 'upper')
-
## Warning in dist_t_perc(0.15, 8, "upper"): `dist_t_perc()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-

What is the eleventh percentile?

-
dist_t_perc(0.11, 8, 'lower')
-
## Warning in dist_t_perc(0.11, 8, "lower"): `dist_t_perc()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-

What is the area of the curve that has 95% of the t values?

-
dist_t_perc(0.8, 8, 'both')
-
## Warning in dist_t_perc(0.8, 8, "both"): `dist_t_perc()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-
-
-
-
-

-Probabilities

-
-

-Calculate probability from a given quantile.

-
-
-Input
-
    -
  • perc: a quantile value
    • -
  • df: degrees of freedom
    • -
  • type: lower/upper/interval/both tail
    • -
-

Let T follow a t-distribution with r = 6 df.

-

What is the probability that the value of T is less than 2?

-
dist_t_prob(2, 6, 'lower')
-
## Warning in dist_t_prob(2, 6, "lower"): `dist_t_prob()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-

What is the probability that the value of T is greater than 2?

-
dist_t_prob(2, 6, 'upper')
-
## Warning in dist_t_prob(2, 6, "upper"): `dist_t_prob()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-

What is the probability that the value of T is between -2 and 2?

-
dist_t_prob(2, 6, 'both')
-
## Warning in dist_t_prob(2, 6, "both"): `dist_t_prob()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-

What is the probability that the absolute value of T is greater than 2?

-
dist_t_prob(2, 6, 'interval')
-
## Warning in dist_t_prob(2, 6, "interval"): `dist_t_prob()` has been soft
-## deprecated and will be removed in the next version of descriptr. Please use
-## the vistributions package for visualizing probability distributions.
-

-
-
-
-
-
- - - -
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+ @@ -9,21 +9,23 @@ Articles • descriptr - + - - + + - + - + + + + - @@ -31,8 +33,10 @@ + - + + - - - - - -Media • descriptr - - - - - - -
-
- - - -
-
-
-

Media

- -
- - - -
-
-

- Shiny App Demo

- -
-
-
- - - -
- - - -
- - - diff --git a/docs/articles/tests_and_coverage.html b/docs/articles/tests_and_coverage.html index 0ac84b5..263dc30 100644 --- a/docs/articles/tests_and_coverage.html +++ b/docs/articles/tests_and_coverage.html @@ -1,18 +1,18 @@ - + Tests and Coverage • descriptr - - - - + + + + - @@ -22,14 +22,15 @@
diff --git a/docs/articles/visualization.html b/docs/articles/visualization.html new file mode 100644 index 0000000..7b87f58 --- /dev/null +++ b/docs/articles/visualization.html @@ -0,0 +1,219 @@ + + + + + + + +Visualization • descriptr + + + + + + + + + +
+
+ + + +
+
+
+

Visualization

+

Aravind Hebbali

+ +

2019-01-21

+ + Source: vignettes/visualization.Rmd + + +
+ + + +
+

+Introduction

+

In this document, we will introduce you to functions for generating different types of plots.

+
+ +
+

+Continuous Data

+

The following functions will create plots for all or subset of continuous variables in the data set.

+
+

+Histograms

+ +

+
+
+

+Density Plots

+ +

+
+
+

+Box Plots

+ +

+
+
+

+Scatter Plots

+
ds_plot_scatter(mtcarz, mpg, disp, hp)
+

+
+
+
+

+Categorical Data

+

The following functions will create plots for all or subset of categorical variables in the data set.

+
+

+Bar Plot

+
ds_plot_bar(mtcarz)
+

+
+
+

+Stacked Bar Plot

+
ds_plot_bar_stacked(mtcarz, cyl, gear, am)
+

+
+
+

+Grouped Bar Plot

+
ds_plot_bar_grouped(mtcarz, cyl, gear, am)
+

+
+
+

+Grouped Box Plots

+
ds_plot_box_group(mtcarz, cyl, gear, mpg, disp)
+

+
+
+
+ + + +
+ + + +
+ + + + + diff --git a/docs/articles/visualization_files/figure-html/bar-1.png b/docs/articles/visualization_files/figure-html/bar-1.png new file mode 100644 index 0000000..ab82e32 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/bar-1.png differ diff --git a/docs/articles/visualization_files/figure-html/bar-2.png b/docs/articles/visualization_files/figure-html/bar-2.png new file mode 100644 index 0000000..23fa281 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/bar-2.png differ diff --git a/docs/articles/visualization_files/figure-html/bar_grouped-1.png b/docs/articles/visualization_files/figure-html/bar_grouped-1.png new file mode 100644 index 0000000..1671415 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/bar_grouped-1.png differ diff --git a/docs/articles/visualization_files/figure-html/bar_grouped-2.png b/docs/articles/visualization_files/figure-html/bar_grouped-2.png new file mode 100644 index 0000000..dc76a34 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/bar_grouped-2.png differ diff --git a/docs/articles/visualization_files/figure-html/bar_stacked-1.png b/docs/articles/visualization_files/figure-html/bar_stacked-1.png new file mode 100644 index 0000000..f8c51e3 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/bar_stacked-1.png differ diff --git a/docs/articles/visualization_files/figure-html/bar_stacked-2.png b/docs/articles/visualization_files/figure-html/bar_stacked-2.png new file mode 100644 index 0000000..1bc52a8 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/bar_stacked-2.png differ diff --git a/docs/articles/visualization_files/figure-html/box_group-1.png b/docs/articles/visualization_files/figure-html/box_group-1.png new file mode 100644 index 0000000..39325dd Binary files /dev/null and b/docs/articles/visualization_files/figure-html/box_group-1.png differ diff --git a/docs/articles/visualization_files/figure-html/box_single-1.png b/docs/articles/visualization_files/figure-html/box_single-1.png new file mode 100644 index 0000000..53a3d28 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/box_single-1.png differ diff --git a/docs/articles/visualization_files/figure-html/box_single-2.png b/docs/articles/visualization_files/figure-html/box_single-2.png new file mode 100644 index 0000000..9b40c23 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/box_single-2.png differ diff --git a/docs/articles/visualization_files/figure-html/density-1.png b/docs/articles/visualization_files/figure-html/density-1.png new file mode 100644 index 0000000..522139b Binary files /dev/null and b/docs/articles/visualization_files/figure-html/density-1.png differ diff --git a/docs/articles/visualization_files/figure-html/density-2.png b/docs/articles/visualization_files/figure-html/density-2.png new file mode 100644 index 0000000..2201db5 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/density-2.png differ diff --git a/docs/articles/visualization_files/figure-html/hist-1.png b/docs/articles/visualization_files/figure-html/hist-1.png new file mode 100644 index 0000000..8d24604 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/hist-1.png differ diff --git a/docs/articles/visualization_files/figure-html/hist-2.png b/docs/articles/visualization_files/figure-html/hist-2.png new file mode 100644 index 0000000..2392c90 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/hist-2.png differ diff --git a/docs/articles/visualization_files/figure-html/scatter-1.png b/docs/articles/visualization_files/figure-html/scatter-1.png new file mode 100644 index 0000000..ecea6e3 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/scatter-1.png differ diff --git a/docs/articles/visualization_files/figure-html/scatter-2.png b/docs/articles/visualization_files/figure-html/scatter-2.png new file mode 100644 index 0000000..96dda45 Binary files /dev/null and b/docs/articles/visualization_files/figure-html/scatter-2.png differ diff --git a/docs/authors.html b/docs/authors.html index 54b964b..c0896ae 100644 --- a/docs/authors.html +++ b/docs/authors.html @@ -60,7 +60,7 @@ descriptr - 0.4.1.9000 + 0.5.0 @@ -77,10 +77,13 @@ diff --git a/docs/docsearch.css b/docs/docsearch.css index c524034..e5f1fe1 100644 --- a/docs/docsearch.css +++ b/docs/docsearch.css @@ -111,23 +111,26 @@ } .algolia-autocomplete .algolia-docsearch-footer { - float: none; - width: auto; - height: auto; - padding: .75rem 1rem 0; - font-size: .95rem; - line-height: 1; - color: #767676; - background-color: rgb(255, 255, 255); - border-top: 1px solid rgba(0, 0, 0, .1) + width: 110px; + height: 20px; + z-index: 3; + margin-top: 10.66667px; + float: right; + font-size: 0; + line-height: 0; } .algolia-autocomplete .algolia-docsearch-footer--logo { - display: inline; - overflow: visible; - color: inherit; - text-indent: 0; - background: 0 0 + background-image: url("data:image/svg+xml;utf8,"); + background-repeat: no-repeat; + background-position: 50%; + background-size: 100%; + overflow: hidden; + text-indent: -9000px; + width: 100%; + height: 100%; + display: block; + transform: translate(-8px); } .algolia-autocomplete .algolia-docsearch-suggestion--highlight { diff --git a/docs/docsearch.js b/docs/docsearch.js new file mode 100644 index 0000000..b35504c --- /dev/null +++ b/docs/docsearch.js @@ -0,0 +1,85 @@ +$(function() { + + // register a handler to move the focus to the search bar + // upon pressing shift + "/" (i.e. "?") + $(document).on('keydown', function(e) { + if (e.shiftKey && e.keyCode == 191) { + e.preventDefault(); + $("#search-input").focus(); + } + }); + + $(document).ready(function() { + // do keyword highlighting + /* modified from https://jsfiddle.net/julmot/bL6bb5oo/ */ + var mark = function() { + + var referrer = document.URL ; + var paramKey = "q" ; + + if (referrer.indexOf("?") !== -1) { + var qs = referrer.substr(referrer.indexOf('?') + 1); + var qs_noanchor = qs.split('#')[0]; + var qsa = qs_noanchor.split('&'); + var keyword = ""; + + for (var i = 0; i < qsa.length; i++) { + var currentParam = qsa[i].split('='); + + if (currentParam.length !== 2) { + continue; + } + + if (currentParam[0] == paramKey) { + keyword = decodeURIComponent(currentParam[1].replace(/\+/g, "%20")); + } + } + + if (keyword !== "") { + $(".contents").unmark({ + done: function() { + $(".contents").mark(keyword); + } + }); + } + } + }; + + mark(); + }); +}); + +/* Search term highlighting ------------------------------*/ + +function matchedWords(hit) { + var words = []; + + var hierarchy = hit._highlightResult.hierarchy; + // loop to fetch from lvl0, lvl1, etc. + for (var idx in hierarchy) { + words = words.concat(hierarchy[idx].matchedWords); + } + + var content = hit._highlightResult.content; + if (content) { + words = words.concat(content.matchedWords); + } + + // return unique words + var words_uniq = [...new Set(words)]; + return words_uniq; +} + +function updateHitURL(hit) { + + var words = matchedWords(hit); + var url = ""; + + if (hit.anchor) { + url = hit.url_without_anchor + '?q=' + escape(words.join(" ")) + '#' + hit.anchor; + } else { + url = hit.url + '?q=' + escape(words.join(" ")); + } + + return url; +} diff --git a/docs/index.html b/docs/index.html index b66354d..381f4d2 100644 --- a/docs/index.html +++ b/docs/index.html @@ -31,12 +31,7 @@ - - - + - + @@ -9,21 +9,23 @@ Changelog • descriptr - + - - + + - + - + + + + - @@ -31,8 +33,10 @@ + - + + + + + + + + + +Multiple One & Two Way Tables — ds_auto_freq_table • descriptr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+

Multiple One & Two Way Tables

+ Source: R/ds-mult-table.R + +
+ +
+ +

ds_auto_freq_table creates multiple one way tables by creating +a frequency table for each categorical variable in a data frame. +ds_auto_cross_table creates multiple two way tables by creating a cross +table for each unique pair of categorical variables in a data frame.

+ +
+ + 
ds_auto_freq_table(data, ...)
+
+ds_auto_cross_table(data, ...)
+ +

Arguments

+ + + + + + + + + + +
data

A data.frame or tibble.

...

Column(s) in data.

+ +

Details

+ +

ds_auto_freq_table is a extension of the ds_freq_table +function. It creates a frequency table for each categorical variable in the +dataframe. ds_auto_cross_table is a extension of the ds_cross_table +function. It creates a two way table for each unique pair of categorical +variables in the dataframe.

+ +

Deprecated Functions

+ + +

ds_oway_tables() and ds_tway_tables() have been deprecated. +Instead use ds_auto_freq_table() and ds_auto_cross_table().

+ +

See also

+ +

link{ds_freq_table} link{ds_cross_table}

+ + +

Examples

+ 
# multiple one way tables
+ds_auto_freq_table(mtcarz)
#>                              Variable: cyl                              
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    4          11             11              34.38            34.38    
+#> -----------------------------------------------------------------------
+#>    6           7             18              21.88            56.25    
+#> -----------------------------------------------------------------------
+#>    8          14             32              43.75             100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+#> 
+#>                              Variable: vs                               
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    0          18             18              56.25            56.25    
+#> -----------------------------------------------------------------------
+#>    1          14             32              43.75             100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+#> 
+#>                              Variable: am                               
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    0          19             19              59.38            59.38    
+#> -----------------------------------------------------------------------
+#>    1          13             32              40.62             100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+#> 
+#>                             Variable: gear                              
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    3          15             15              46.88            46.88    
+#> -----------------------------------------------------------------------
+#>    4          12             27              37.5             84.38    
+#> -----------------------------------------------------------------------
+#>    5           5             32              15.62             100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+#> 
+#>                             Variable: carb                              
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    1           7              7              21.88            21.88    
+#> -----------------------------------------------------------------------
+#>    2          10             17              31.25            53.12    
+#> -----------------------------------------------------------------------
+#>    3           3             20              9.38             62.5     
+#> -----------------------------------------------------------------------
+#>    4          10             30              31.25            93.75    
+#> -----------------------------------------------------------------------
+#>    6           1             31              3.12             96.88    
+#> -----------------------------------------------------------------------
+#>    8           1             32              3.12              100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+#> 
ds_auto_freq_table(mtcarz, cyl, gear)
#>                              Variable: cyl                              
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    4          11             11              34.38            34.38    
+#> -----------------------------------------------------------------------
+#>    6           7             18              21.88            56.25    
+#> -----------------------------------------------------------------------
+#>    8          14             32              43.75             100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+#> 
+#>                             Variable: gear                              
+#> -----------------------------------------------------------------------
+#> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
+#> -----------------------------------------------------------------------
+#>    3          15             15              46.88            46.88    
+#> -----------------------------------------------------------------------
+#>    4          12             27              37.5             84.38    
+#> -----------------------------------------------------------------------
+#>    5           5             32              15.62             100     
+#> -----------------------------------------------------------------------
+#>  Total        32              -             100.00              -      
+#> -----------------------------------------------------------------------
+#> 

+# multiple two way tables
+ds_auto_cross_table(mtcarz)
#>     Cell Contents
+#>  |---------------|
+#>  |     Frequency |
+#>  |       Percent |
+#>  |       Row Pct |
+#>  |       Col Pct |
+#>  |---------------|
+#> 
+#>  Total Observations:  32 
+#> 
+#>                          cyl vs vs                           
+#> -------------------------------------------------------------
+#> |              |                     vs                     |
+#> -------------------------------------------------------------
+#> |          cyl |            0 |            1 |    Row Total |
+#> -------------------------------------------------------------
+#> |            4 |            1 |           10 |           11 |
+#> |              |        0.031 |        0.312 |              |
+#> |              |         0.09 |         0.91 |         0.34 |
+#> |              |         0.06 |         0.71 |              |
+#> -------------------------------------------------------------
+#> |            6 |            3 |            4 |            7 |
+#> |              |        0.094 |        0.125 |              |
+#> |              |         0.43 |         0.57 |         0.22 |
+#> |              |         0.17 |         0.29 |              |
+#> -------------------------------------------------------------
+#> |            8 |           14 |            0 |           14 |
+#> |              |        0.438 |            0 |              |
+#> |              |            1 |            0 |         0.44 |
+#> |              |         0.78 |            0 |              |
+#> -------------------------------------------------------------
+#> | Column Total |           18 |           14 |           32 |
+#> |              |        0.563 |        0.437 |              |
+#> -------------------------------------------------------------
+#> 
+#> 
+#>                          cyl vs am                           
+#> -------------------------------------------------------------
+#> |              |                     am                     |
+#> -------------------------------------------------------------
+#> |          cyl |            0 |            1 |    Row Total |
+#> -------------------------------------------------------------
+#> |            4 |            3 |            8 |           11 |
+#> |              |        0.094 |         0.25 |              |
+#> |              |         0.27 |         0.73 |         0.34 |
+#> |              |         0.16 |         0.62 |              |
+#> -------------------------------------------------------------
+#> |            6 |            4 |            3 |            7 |
+#> |              |        0.125 |        0.094 |              |
+#> |              |         0.57 |         0.43 |         0.22 |
+#> |              |         0.21 |         0.23 |              |
+#> -------------------------------------------------------------
+#> |            8 |           12 |            2 |           14 |
+#> |              |        0.375 |        0.062 |              |
+#> |              |         0.86 |         0.14 |         0.44 |
+#> |              |         0.63 |         0.15 |              |
+#> -------------------------------------------------------------
+#> | Column Total |           19 |           13 |           32 |
+#> |              |        0.594 |        0.406 |              |
+#> -------------------------------------------------------------
+#> 
+#> 
+#>                                 cyl vs gear                                 
+#> ----------------------------------------------------------------------------
+#> |              |                           gear                            |
+#> ----------------------------------------------------------------------------
+#> |          cyl |            3 |            4 |            5 |    Row Total |
+#> ----------------------------------------------------------------------------
+#> |            4 |            1 |            8 |            2 |           11 |
+#> |              |        0.031 |         0.25 |        0.062 |              |
+#> |              |         0.09 |         0.73 |         0.18 |         0.34 |
+#> |              |         0.07 |         0.67 |          0.4 |              |
+#> ----------------------------------------------------------------------------
+#> |            6 |            2 |            4 |            1 |            7 |
+#> |              |        0.062 |        0.125 |        0.031 |              |
+#> |              |         0.29 |         0.57 |         0.14 |         0.22 |
+#> |              |         0.13 |         0.33 |          0.2 |              |
+#> ----------------------------------------------------------------------------
+#> |            8 |           12 |            0 |            2 |           14 |
+#> |              |        0.375 |            0 |        0.062 |              |
+#> |              |         0.86 |            0 |         0.14 |         0.44 |
+#> |              |          0.8 |            0 |          0.4 |              |
+#> ----------------------------------------------------------------------------
+#> | Column Total |           15 |           12 |            5 |           32 |
+#> |              |        0.468 |        0.375 |        0.155 |              |
+#> ----------------------------------------------------------------------------
+#> 
+#> 
+#>                                                       cyl vs carb                                                        
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |              |                                                  carb                                                  |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |          cyl |            1 |            2 |            3 |            4 |            6 |            8 |    Row Total |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |            4 |            5 |            6 |            0 |            0 |            0 |            0 |           11 |
+#> |              |        0.156 |        0.188 |            0 |            0 |            0 |            0 |              |
+#> |              |         0.45 |         0.55 |            0 |            0 |            0 |            0 |         0.34 |
+#> |              |         0.71 |          0.6 |            0 |            0 |            0 |            0 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |            6 |            2 |            0 |            0 |            4 |            1 |            0 |            7 |
+#> |              |        0.062 |            0 |            0 |        0.125 |        0.031 |            0 |              |
+#> |              |         0.29 |            0 |            0 |         0.57 |         0.14 |            0 |         0.22 |
+#> |              |         0.29 |            0 |            0 |          0.4 |            1 |            0 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |            8 |            0 |            4 |            3 |            6 |            0 |            1 |           14 |
+#> |              |            0 |        0.125 |        0.094 |        0.188 |            0 |        0.031 |              |
+#> |              |            0 |         0.29 |         0.21 |         0.43 |            0 |         0.07 |         0.44 |
+#> |              |            0 |          0.4 |            1 |          0.6 |            0 |            1 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> | Column Total |            7 |           10 |            3 |           10 |            1 |            1 |           32 |
+#> |              |        0.218 |        0.313 |        0.094 |        0.313 |        0.031 |        0.031 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> 
+#> 
+#>                           vs vs am                           
+#> -------------------------------------------------------------
+#> |              |                     am                     |
+#> -------------------------------------------------------------
+#> |           vs |            0 |            1 |    Row Total |
+#> -------------------------------------------------------------
+#> |            0 |           12 |            6 |           18 |
+#> |              |        0.375 |        0.188 |              |
+#> |              |         0.67 |         0.33 |         0.56 |
+#> |              |         0.63 |         0.46 |              |
+#> -------------------------------------------------------------
+#> |            1 |            7 |            7 |           14 |
+#> |              |        0.219 |        0.219 |              |
+#> |              |          0.5 |          0.5 |         0.44 |
+#> |              |         0.37 |         0.54 |              |
+#> -------------------------------------------------------------
+#> | Column Total |           19 |           13 |           32 |
+#> |              |        0.594 |        0.407 |              |
+#> -------------------------------------------------------------
+#> 
+#> 
+#>                                 vs vs gear                                  
+#> ----------------------------------------------------------------------------
+#> |              |                           gear                            |
+#> ----------------------------------------------------------------------------
+#> |           vs |            3 |            4 |            5 |    Row Total |
+#> ----------------------------------------------------------------------------
+#> |            0 |           12 |            2 |            4 |           18 |
+#> |              |        0.375 |        0.062 |        0.125 |              |
+#> |              |         0.67 |         0.11 |         0.22 |         0.56 |
+#> |              |          0.8 |         0.17 |          0.8 |              |
+#> ----------------------------------------------------------------------------
+#> |            1 |            3 |           10 |            1 |           14 |
+#> |              |        0.094 |        0.312 |        0.031 |              |
+#> |              |         0.21 |         0.71 |         0.07 |         0.44 |
+#> |              |          0.2 |         0.83 |          0.2 |              |
+#> ----------------------------------------------------------------------------
+#> | Column Total |           15 |           12 |            5 |           32 |
+#> |              |        0.469 |        0.374 |        0.156 |              |
+#> ----------------------------------------------------------------------------
+#> 
+#> 
+#>                                                        vs vs carb                                                        
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |              |                                                  carb                                                  |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |           vs |            1 |            2 |            3 |            4 |            6 |            8 |    Row Total |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |            0 |            0 |            5 |            3 |            8 |            1 |            1 |           18 |
+#> |              |            0 |        0.156 |        0.094 |         0.25 |        0.031 |        0.031 |              |
+#> |              |            0 |         0.28 |         0.17 |         0.44 |         0.06 |         0.06 |         0.56 |
+#> |              |            0 |          0.5 |            1 |          0.8 |            1 |            1 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |            1 |            7 |            5 |            0 |            2 |            0 |            0 |           14 |
+#> |              |        0.219 |        0.156 |            0 |        0.062 |            0 |            0 |              |
+#> |              |          0.5 |         0.36 |            0 |         0.14 |            0 |            0 |         0.44 |
+#> |              |            1 |          0.5 |            0 |          0.2 |            0 |            0 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> | Column Total |            7 |           10 |            3 |           10 |            1 |            1 |           32 |
+#> |              |        0.219 |        0.312 |        0.094 |        0.312 |        0.031 |        0.031 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> 
+#> 
+#>                                 am vs gear                                  
+#> ----------------------------------------------------------------------------
+#> |              |                           gear                            |
+#> ----------------------------------------------------------------------------
+#> |           am |            3 |            4 |            5 |    Row Total |
+#> ----------------------------------------------------------------------------
+#> |            0 |           15 |            4 |            0 |           19 |
+#> |              |        0.469 |        0.125 |            0 |              |
+#> |              |         0.79 |         0.21 |            0 |         0.59 |
+#> |              |            1 |         0.33 |            0 |              |
+#> ----------------------------------------------------------------------------
+#> |            1 |            0 |            8 |            5 |           13 |
+#> |              |            0 |         0.25 |        0.156 |              |
+#> |              |            0 |         0.62 |         0.38 |         0.41 |
+#> |              |            0 |         0.67 |            1 |              |
+#> ----------------------------------------------------------------------------
+#> | Column Total |           15 |           12 |            5 |           32 |
+#> |              |        0.469 |        0.375 |        0.156 |              |
+#> ----------------------------------------------------------------------------
+#> 
+#> 
+#>                                                        am vs carb                                                        
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |              |                                                  carb                                                  |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |           am |            1 |            2 |            3 |            4 |            6 |            8 |    Row Total |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |            0 |            3 |            6 |            3 |            7 |            0 |            0 |           19 |
+#> |              |        0.094 |        0.188 |        0.094 |        0.219 |            0 |            0 |              |
+#> |              |         0.16 |         0.32 |         0.16 |         0.37 |            0 |            0 |          0.6 |
+#> |              |         0.43 |          0.6 |            1 |          0.7 |            0 |            0 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |            1 |            4 |            4 |            0 |            3 |            1 |            1 |           13 |
+#> |              |        0.125 |        0.125 |            0 |        0.094 |        0.031 |        0.031 |              |
+#> |              |         0.31 |         0.31 |            0 |         0.23 |         0.08 |         0.08 |         0.41 |
+#> |              |         0.57 |          0.4 |            0 |          0.3 |            1 |            1 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> | Column Total |            7 |           10 |            3 |           10 |            1 |            1 |           32 |
+#> |              |        0.219 |        0.313 |        0.094 |        0.313 |        0.031 |        0.031 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> 
+#> 
+#>                                                       gear vs carb                                                       
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |              |                                                  carb                                                  |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |         gear |            1 |            2 |            3 |            4 |            6 |            8 |    Row Total |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |            3 |            3 |            4 |            3 |            5 |            0 |            0 |           15 |
+#> |              |        0.094 |        0.125 |        0.094 |        0.156 |            0 |            0 |              |
+#> |              |          0.2 |         0.27 |          0.2 |         0.33 |            0 |            0 |         0.47 |
+#> |              |         0.43 |          0.4 |            1 |          0.5 |            0 |            0 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |            4 |            4 |            4 |            0 |            4 |            0 |            0 |           12 |
+#> |              |        0.125 |        0.125 |            0 |        0.125 |            0 |            0 |              |
+#> |              |         0.33 |         0.33 |            0 |         0.33 |            0 |            0 |         0.38 |
+#> |              |         0.57 |          0.4 |            0 |          0.4 |            0 |            0 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> |            5 |            0 |            2 |            0 |            1 |            1 |            1 |            5 |
+#> |              |            0 |        0.062 |            0 |        0.031 |        0.031 |        0.031 |              |
+#> |              |            0 |          0.4 |            0 |          0.2 |          0.2 |          0.2 |         0.16 |
+#> |              |            0 |          0.2 |            0 |          0.1 |            1 |            1 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> | Column Total |            7 |           10 |            3 |           10 |            1 |            1 |           32 |
+#> |              |        0.219 |        0.312 |        0.094 |        0.312 |        0.031 |        0.031 |              |
+#> -------------------------------------------------------------------------------------------------------------------------
+#> 
+#> 
ds_auto_cross_table(mtcarz, cyl, gear, am)
#>     Cell Contents
+#>  |---------------|
+#>  |     Frequency |
+#>  |       Percent |
+#>  |       Row Pct |
+#>  |       Col Pct |
+#>  |---------------|
+#> 
+#>  Total Observations:  32 
+#> 
+#>                                 cyl vs gear                                 
+#> ----------------------------------------------------------------------------
+#> |              |                           gear                            |
+#> ----------------------------------------------------------------------------
+#> |          cyl |            3 |            4 |            5 |    Row Total |
+#> ----------------------------------------------------------------------------
+#> |            4 |            1 |            8 |            2 |           11 |
+#> |              |        0.031 |         0.25 |        0.062 |              |
+#> |              |         0.09 |         0.73 |         0.18 |         0.34 |
+#> |              |         0.07 |         0.67 |          0.4 |              |
+#> ----------------------------------------------------------------------------
+#> |            6 |            2 |            4 |            1 |            7 |
+#> |              |        0.062 |        0.125 |        0.031 |              |
+#> |              |         0.29 |         0.57 |         0.14 |         0.22 |
+#> |              |         0.13 |         0.33 |          0.2 |              |
+#> ----------------------------------------------------------------------------
+#> |            8 |           12 |            0 |            2 |           14 |
+#> |              |        0.375 |            0 |        0.062 |              |
+#> |              |         0.86 |            0 |         0.14 |         0.44 |
+#> |              |          0.8 |            0 |          0.4 |              |
+#> ----------------------------------------------------------------------------
+#> | Column Total |           15 |           12 |            5 |           32 |
+#> |              |        0.468 |        0.375 |        0.155 |              |
+#> ----------------------------------------------------------------------------
+#> 
+#> 
+#>                          cyl vs am                           
+#> -------------------------------------------------------------
+#> |              |                     am                     |
+#> -------------------------------------------------------------
+#> |          cyl |            0 |            1 |    Row Total |
+#> -------------------------------------------------------------
+#> |            4 |            3 |            8 |           11 |
+#> |              |        0.094 |         0.25 |              |
+#> |              |         0.27 |         0.73 |         0.34 |
+#> |              |         0.16 |         0.62 |              |
+#> -------------------------------------------------------------
+#> |            6 |            4 |            3 |            7 |
+#> |              |        0.125 |        0.094 |              |
+#> |              |         0.57 |         0.43 |         0.22 |
+#> |              |         0.21 |         0.23 |              |
+#> -------------------------------------------------------------
+#> |            8 |           12 |            2 |           14 |
+#> |              |        0.375 |        0.062 |              |
+#> |              |         0.86 |         0.14 |         0.44 |
+#> |              |         0.63 |         0.15 |              |
+#> -------------------------------------------------------------
+#> | Column Total |           19 |           13 |           32 |
+#> |              |        0.594 |        0.406 |              |
+#> -------------------------------------------------------------
+#> 
+#> 
+#>                          gear vs am                          
+#> -------------------------------------------------------------
+#> |              |                     am                     |
+#> -------------------------------------------------------------
+#> |         gear |            0 |            1 |    Row Total |
+#> -------------------------------------------------------------
+#> |            3 |           15 |            0 |           15 |
+#> |              |        0.469 |            0 |              |
+#> |              |            1 |            0 |         0.47 |
+#> |              |         0.79 |            0 |              |
+#> -------------------------------------------------------------
+#> |            4 |            4 |            8 |           12 |
+#> |              |        0.125 |         0.25 |              |
+#> |              |         0.33 |         0.67 |         0.38 |
+#> |              |         0.21 |         0.62 |              |
+#> -------------------------------------------------------------
+#> |            5 |            0 |            5 |            5 |
+#> |              |            0 |        0.156 |              |
+#> |              |            0 |            1 |         0.16 |
+#> |              |            0 |         0.38 |              |
+#> -------------------------------------------------------------
+#> | Column Total |           19 |           13 |           32 |
+#> |              |        0.594 |        0.406 |              |
+#> -------------------------------------------------------------
+#> 
+#>
+
+ +
+ + +
+ + + + + + diff --git a/docs/reference/ds_auto_group_summary.html b/docs/reference/ds_auto_group_summary.html new file mode 100644 index 0000000..94cd128 --- /dev/null +++ b/docs/reference/ds_auto_group_summary.html @@ -0,0 +1,281 @@ + + + + + + + + +Tabulation — ds_auto_group_summary • descriptr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+

Tabulation

+ Source: R/ds-auto-summary.R + +
+ +
+ +

Generate summary statistics for all continuous variables in data.

+ +
+ + 
ds_auto_group_summary(data, ...)
+ +

Arguments

+ + + + + + + + + + +
data

A data.frame or tibble.

...

Column(s) in data.

+ + +

Examples

+ 
ds_auto_group_summary(mtcarz, cyl, gear, mpg, disp)
#>                                        mpg by cyl                                         
+#> -----------------------------------------------------------------------------------------
+#> |     Statistic/Levels|                    4|                    6|                    8|
+#> -----------------------------------------------------------------------------------------
+#> |                  Obs|                   11|                    7|                   14|
+#> |              Minimum|                 21.4|                 17.8|                 10.4|
+#> |              Maximum|                 33.9|                 21.4|                 19.2|
+#> |                 Mean|                26.66|                19.74|                 15.1|
+#> |               Median|                   26|                 19.7|                 15.2|
+#> |                 Mode|                 22.8|                   21|                 10.4|
+#> |       Std. Deviation|                 4.51|                 1.45|                 2.56|
+#> |             Variance|                20.34|                 2.11|                 6.55|
+#> |             Skewness|                 0.35|                -0.26|                -0.46|
+#> |             Kurtosis|                -1.43|                -1.83|                 0.33|
+#> |       Uncorrected SS|              8023.83|              2741.14|              3277.34|
+#> |         Corrected SS|               203.39|                12.68|                 85.2|
+#> |      Coeff Variation|                16.91|                 7.36|                16.95|
+#> |      Std. Error Mean|                 1.36|                 0.55|                 0.68|
+#> |                Range|                 12.5|                  3.6|                  8.8|
+#> |  Interquartile Range|                  7.6|                 2.35|                 1.85|
+#> -----------------------------------------------------------------------------------------
+#> 
+#> 
+#> 
+#>                                        mpg by gear                                        
+#> -----------------------------------------------------------------------------------------
+#> |     Statistic/Levels|                    3|                    4|                    5|
+#> -----------------------------------------------------------------------------------------
+#> |                  Obs|                   15|                   12|                    5|
+#> |              Minimum|                 10.4|                 17.8|                   15|
+#> |              Maximum|                 21.5|                 33.9|                 30.4|
+#> |                 Mean|                16.11|                24.53|                21.38|
+#> |               Median|                 15.5|                 22.8|                 19.7|
+#> |                 Mode|                 10.4|                   21|                   15|
+#> |       Std. Deviation|                 3.37|                 5.28|                 6.66|
+#> |             Variance|                11.37|                27.84|                44.34|
+#> |             Skewness|                -0.09|                  0.7|                 0.56|
+#> |             Kurtosis|                -0.38|                -0.77|                -1.83|
+#> |       Uncorrected SS|              4050.52|               7528.9|              2462.89|
+#> |         Corrected SS|               159.15|               306.29|               177.37|
+#> |      Coeff Variation|                20.93|                21.51|                31.15|
+#> |      Std. Error Mean|                 0.87|                 1.52|                 2.98|
+#> |                Range|                 11.1|                 16.1|                 15.4|
+#> |  Interquartile Range|                  3.9|                 7.08|                 10.2|
+#> -----------------------------------------------------------------------------------------
+#> 
+#> 
+#> 
+#>                                        disp by cyl                                        
+#> -----------------------------------------------------------------------------------------
+#> |     Statistic/Levels|                    4|                    6|                    8|
+#> -----------------------------------------------------------------------------------------
+#> |                  Obs|                   11|                    7|                   14|
+#> |              Minimum|                 71.1|                  145|                275.8|
+#> |              Maximum|                146.7|                  258|                  472|
+#> |                 Mean|               105.14|               183.31|                353.1|
+#> |               Median|                  108|                167.6|                350.5|
+#> |                 Mode|                 71.1|                  160|                275.8|
+#> |       Std. Deviation|                26.87|                41.56|                67.77|
+#> |             Variance|               722.08|              1727.44|              4592.95|
+#> |             Skewness|                 0.16|                  1.3|                 0.57|
+#> |             Kurtosis|                -1.41|                 0.39|                -0.86|
+#> |       Uncorrected SS|               128811|             245593.5|              1805223|
+#> |         Corrected SS|              7220.83|             10364.63|             59708.38|
+#> |      Coeff Variation|                25.56|                22.67|                19.19|
+#> |      Std. Error Mean|                  8.1|                15.71|                18.11|
+#> |                Range|                 75.6|                  113|                196.2|
+#> |  Interquartile Range|                 41.8|                 36.3|                88.25|
+#> -----------------------------------------------------------------------------------------
+#> 
+#> 
+#> 
+#>                                       disp by gear                                        
+#> -----------------------------------------------------------------------------------------
+#> |     Statistic/Levels|                    3|                    4|                    5|
+#> -----------------------------------------------------------------------------------------
+#> |                  Obs|                   15|                   12|                    5|
+#> |              Minimum|                120.1|                 71.1|                 95.1|
+#> |              Maximum|                  472|                167.6|                  351|
+#> |                 Mean|                326.3|               123.02|               202.48|
+#> |               Median|                  318|                130.9|                  145|
+#> |                 Mode|                275.8|                  160|                 95.1|
+#> |       Std. Deviation|                94.85|                38.91|               115.49|
+#> |             Variance|              8997.04|              1513.93|             13338.09|
+#> |             Skewness|                 -0.3|                -0.23|                 0.61|
+#> |             Kurtosis|                  0.2|                -1.83|                -2.59|
+#> |       Uncorrected SS|              1723034|             198250.4|             258343.1|
+#> |         Corrected SS|             125958.6|             16653.24|             53352.35|
+#> |      Coeff Variation|                29.07|                31.63|                57.04|
+#> |      Std. Error Mean|                24.49|                11.23|                51.65|
+#> |                Range|                351.9|                 96.5|                255.9|
+#> |  Interquartile Range|                104.2|                81.08|                180.7|
+#> -----------------------------------------------------------------------------------------
+#> 
+#> 
+#> 

+
+
+ +
+ + +
+ + + + + + diff --git a/docs/reference/ds_auto_summary_stats.html b/docs/reference/ds_auto_summary_stats.html new file mode 100644 index 0000000..e43ce7b --- /dev/null +++ b/docs/reference/ds_auto_summary_stats.html @@ -0,0 +1,736 @@ + + + + + + + + +Descriptive statistics and frquency tables — ds_auto_summary_stats • descriptr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+

Descriptive statistics and frquency tables

+ Source: R/ds-auto-summary.R + +
+ +
+ +

Generate summary statistics & frequency table for all continuous variables in data.

+ +
+ + 
ds_auto_summary_stats(data, ...)
+ +

Arguments

+ + + + + + + + + + +
data

A data.frame or tibble.

...

Column(s) in data.

+ + +

Examples

+ 
ds_auto_summary_stats(mtcarz)
#> --------------------------------- Variable: mpg --------------------------------
+#> 
+#> ------------------------------ Summary Statistics ------------------------------
+#> 
+#> --------------------------------- Variable: mpg --------------------------------
+#> 
+#>                         Univariate Analysis                          
+#> 
+#>  N                       32.00      Variance                36.32 
+#>  Missing                  0.00      Std Deviation            6.03 
+#>  Mean                    20.09      Range                   23.50 
+#>  Median                  19.20      Interquartile Range      7.38 
+#>  Mode                    10.40      Uncorrected SS       14042.31 
+#>  Trimmed Mean            19.95      Corrected SS          1126.05 
+#>  Skewness                 0.67      Coeff Variation         30.00 
+#>  Kurtosis                -0.02      Std Error Mean           1.07 
+#> 
+#>                               Quantiles                               
+#> 
+#>               Quantile                            Value                
+#> 
+#>              Max                                  33.90                
+#>              99%                                  33.44                
+#>              95%                                  31.30                
+#>              90%                                  30.09                
+#>              Q3                                   22.80                
+#>              Median                               19.20                
+#>              Q1                                   15.43                
+#>              10%                                  14.34                
+#>              5%                                   12.00                
+#>              1%                                   10.40                
+#>              Min                                  10.40                
+#> 
+#>                             Extreme Values                            
+#> 
+#>                 Low                                High                
+#> 
+#>   Obs                        Value       Obs                        Value 
+#>   15                         10.4        20                         33.9  
+#>   16                         10.4        18                         32.4  
+#>   24                         13.3        19                         30.4  
+#>    7                         14.3        28                         30.4  
+#>   17                         14.7        26                         27.3  
+#> 
+#> 
+#> 
+#> NULL
+#> 
+#> 
+#> ---------------------------- Frequency Distribution ----------------------------
+#> 
+#>                               Variable: mpg                               
+#> |-----------------------------------------------------------------------|
+#> |    Bins     | Frequency | Cum Frequency |   Percent    | Cum Percent  |
+#> |-----------------------------------------------------------------------|
+#> | 10.4 - 15.1 |     6     |       6       |    18.75     |    18.75     |
+#> |-----------------------------------------------------------------------|
+#> | 15.1 - 19.8 |    12     |      18       |     37.5     |    56.25     |
+#> |-----------------------------------------------------------------------|
+#> | 19.8 - 24.5 |     8     |      26       |      25      |    81.25     |
+#> |-----------------------------------------------------------------------|
+#> | 24.5 - 29.2 |     2     |      28       |     6.25     |     87.5     |
+#> |-----------------------------------------------------------------------|
+#> | 29.2 - 33.9 |     4     |      32       |     12.5     |     100      |
+#> |-----------------------------------------------------------------------|
+#> |    Total    |    32     |       -       |    100.00    |      -       |
+#> |-----------------------------------------------------------------------|
+#> 
+#> 
+#> -------------------------------- Variable: disp --------------------------------
+#> 
+#> ------------------------------ Summary Statistics ------------------------------
+#> 
+#> -------------------------------- Variable: disp --------------------------------
+#> 
+#>                           Univariate Analysis                            
+#> 
+#>  N                         32.00      Variance               15360.80 
+#>  Missing                    0.00      Std Deviation            123.94 
+#>  Mean                     230.72      Range                    400.90 
+#>  Median                   196.30      Interquartile Range      205.18 
+#>  Mode                     275.80      Uncorrected SS       2179627.47 
+#>  Trimmed Mean             228.00      Corrected SS          476184.79 
+#>  Skewness                   0.42      Coeff Variation           53.72 
+#>  Kurtosis                  -1.07      Std Error Mean            21.91 
+#> 
+#>                                 Quantiles                                 
+#> 
+#>                Quantile                              Value                 
+#> 
+#>               Max                                    472.00                
+#>               99%                                    468.28                
+#>               95%                                    449.00                
+#>               90%                                    396.00                
+#>               Q3                                     326.00                
+#>               Median                                 196.30                
+#>               Q1                                     120.83                
+#>               10%                                    80.61                 
+#>               5%                                     77.35                 
+#>               1%                                     72.53                 
+#>               Min                                    71.10                 
+#> 
+#>                               Extreme Values                              
+#> 
+#>                  Low                                  High                 
+#> 
+#>   Obs                          Value       Obs                          Value 
+#>   20                           71.1        15                            472  
+#>   19                           75.7        16                            460  
+#>   18                           78.7        17                            440  
+#>   26                            79         25                            400  
+#>   28                           95.1         5                            360  
+#> 
+#> 
+#> 
+#> NULL
+#> 
+#> 
+#> ---------------------------- Frequency Distribution ----------------------------
+#> 
+#>                                Variable: disp                                 
+#> |---------------------------------------------------------------------------|
+#> |      Bins       | Frequency | Cum Frequency |   Percent    | Cum Percent  |
+#> |---------------------------------------------------------------------------|
+#> |  71.1  - 151.3  |    12     |      12       |     37.5     |     37.5     |
+#> |---------------------------------------------------------------------------|
+#> | 151.3  - 231.5  |     5     |      17       |    15.62     |    53.12     |
+#> |---------------------------------------------------------------------------|
+#> | 231.5  - 311.6  |     6     |      23       |    18.75     |    71.88     |
+#> |---------------------------------------------------------------------------|
+#> | 311.6  - 391.8  |     5     |      28       |    15.62     |     87.5     |
+#> |---------------------------------------------------------------------------|
+#> | 391.8  -  472   |     4     |      32       |     12.5     |     100      |
+#> |---------------------------------------------------------------------------|
+#> |      Total      |    32     |       -       |    100.00    |      -       |
+#> |---------------------------------------------------------------------------|
+#> 
+#> 
+#> --------------------------------- Variable: hp ---------------------------------
+#> 
+#> ------------------------------ Summary Statistics ------------------------------
+#> 
+#> --------------------------------- Variable: hp ---------------------------------
+#> 
+#>                          Univariate Analysis                           
+#> 
+#>  N                        32.00      Variance               4700.87 
+#>  Missing                   0.00      Std Deviation            68.56 
+#>  Mean                    146.69      Range                   283.00 
+#>  Median                  123.00      Interquartile Range      83.50 
+#>  Mode                    110.00      Uncorrected SS       834278.00 
+#>  Trimmed Mean            143.57      Corrected SS         145726.88 
+#>  Skewness                  0.80      Coeff Variation          46.74 
+#>  Kurtosis                  0.28      Std Error Mean           12.12 
+#> 
+#>                                Quantiles                                
+#> 
+#>               Quantile                              Value                
+#> 
+#>              Max                                   335.00                
+#>              99%                                   312.99                
+#>              95%                                   253.55                
+#>              90%                                   243.50                
+#>              Q3                                    180.00                
+#>              Median                                123.00                
+#>              Q1                                     96.50                
+#>              10%                                    66.00                
+#>              5%                                     63.65                
+#>              1%                                     55.10                
+#>              Min                                    52.00                
+#> 
+#>                              Extreme Values                             
+#> 
+#>                  Low                                High                 
+#> 
+#>   Obs                         Value       Obs                         Value 
+#>   19                           52         31                           335  
+#>    8                           62         29                           264  
+#>   20                           65          7                           245  
+#>   18                           66         24                           245  
+#>   26                           66         17                           230  
+#> 
+#> 
+#> 
+#> NULL
+#> 
+#> 
+#> ---------------------------- Frequency Distribution ----------------------------
+#> 
+#>                                Variable: hp                                 
+#> |-------------------------------------------------------------------------|
+#> |     Bins      | Frequency | Cum Frequency |   Percent    | Cum Percent  |
+#> |-------------------------------------------------------------------------|
+#> |  52   - 108.6 |    10     |      10       |    31.25     |    31.25     |
+#> |-------------------------------------------------------------------------|
+#> | 108.6 - 165.2 |     9     |      19       |    28.12     |    59.38     |
+#> |-------------------------------------------------------------------------|
+#> | 165.2 - 221.8 |     8     |      27       |      25      |    84.38     |
+#> |-------------------------------------------------------------------------|
+#> | 221.8 - 278.4 |     4     |      31       |     12.5     |    96.88     |
+#> |-------------------------------------------------------------------------|
+#> | 278.4 -  335  |     1     |      32       |     3.12     |     100      |
+#> |-------------------------------------------------------------------------|
+#> |     Total     |    32     |       -       |    100.00    |      -       |
+#> |-------------------------------------------------------------------------|
+#> 
+#> 
+#> -------------------------------- Variable: drat --------------------------------
+#> 
+#> ------------------------------ Summary Statistics ------------------------------
+#> 
+#> -------------------------------- Variable: drat --------------------------------
+#> 
+#>                         Univariate Analysis                          
+#> 
+#>  N                       32.00      Variance                 0.29 
+#>  Missing                  0.00      Std Deviation            0.53 
+#>  Mean                     3.60      Range                    2.17 
+#>  Median                   3.70      Interquartile Range      0.84 
+#>  Mode                     3.07      Uncorrected SS         422.79 
+#>  Trimmed Mean             3.58      Corrected SS             8.86 
+#>  Skewness                 0.29      Coeff Variation         14.87 
+#>  Kurtosis                -0.45      Std Error Mean           0.09 
+#> 
+#>                               Quantiles                               
+#> 
+#>               Quantile                            Value                
+#> 
+#>              Max                                   4.93                
+#>              99%                                   4.78                
+#>              95%                                   4.31                
+#>              90%                                   4.21                
+#>              Q3                                    3.92                
+#>              Median                                3.70                
+#>              Q1                                    3.08                
+#>              10%                                   3.01                
+#>              5%                                    2.85                
+#>              1%                                    2.76                
+#>              Min                                   2.76                
+#> 
+#>                             Extreme Values                            
+#> 
+#>                 Low                                High                
+#> 
+#>   Obs                        Value       Obs                        Value 
+#>    6                         2.76        19                         4.93  
+#>   22                         2.76        27                         4.43  
+#>   15                         2.93        20                         4.22  
+#>   16                           3         29                         4.22  
+#>   12                         3.07        32                         4.11  
+#> 
+#> 
+#> 
+#> NULL
+#> 
+#> 
+#> ---------------------------- Frequency Distribution ----------------------------
+#> 
+#>                               Variable: drat                                
+#> |-------------------------------------------------------------------------|
+#> |     Bins      | Frequency | Cum Frequency |   Percent    | Cum Percent  |
+#> |-------------------------------------------------------------------------|
+#> |  2.8  -  3.2  |    11     |      11       |    34.38     |    34.38     |
+#> |-------------------------------------------------------------------------|
+#> |  3.2  -  3.6  |     4     |      15       |     12.5     |    46.88     |
+#> |-------------------------------------------------------------------------|
+#> |  3.6  -  4.1  |    10     |      25       |    31.25     |    78.12     |
+#> |-------------------------------------------------------------------------|
+#> |  4.1  -  4.5  |     6     |      31       |    18.75     |    96.88     |
+#> |-------------------------------------------------------------------------|
+#> |  4.5  -  4.9  |     1     |      32       |     3.12     |     100      |
+#> |-------------------------------------------------------------------------|
+#> |     Total     |    32     |       -       |    100.00    |      -       |
+#> |-------------------------------------------------------------------------|
+#> 
+#> 
+#> --------------------------------- Variable: wt ---------------------------------
+#> 
+#> ------------------------------ Summary Statistics ------------------------------
+#> 
+#> --------------------------------- Variable: wt ---------------------------------
+#> 
+#>                         Univariate Analysis                          
+#> 
+#>  N                       32.00      Variance                 0.96 
+#>  Missing                  0.00      Std Deviation            0.98 
+#>  Mean                     3.22      Range                    3.91 
+#>  Median                   3.33      Interquartile Range      1.03 
+#>  Mode                     3.44      Uncorrected SS         360.90 
+#>  Trimmed Mean             3.20      Corrected SS            29.68 
+#>  Skewness                 0.47      Coeff Variation         30.41 
+#>  Kurtosis                 0.42      Std Error Mean           0.17 
+#> 
+#>                               Quantiles                               
+#> 
+#>               Quantile                            Value                
+#> 
+#>              Max                                   5.42                
+#>              99%                                   5.40                
+#>              95%                                   5.29                
+#>              90%                                   4.05                
+#>              Q3                                    3.61                
+#>              Median                                3.33                
+#>              Q1                                    2.58                
+#>              10%                                   1.96                
+#>              5%                                    1.74                
+#>              1%                                    1.54                
+#>              Min                                   1.51                
+#> 
+#>                             Extreme Values                            
+#> 
+#>                 Low                                High                
+#> 
+#>   Obs                        Value       Obs                        Value 
+#>   28                         1.513       16                         5.424 
+#>   19                         1.615       17                         5.345 
+#>   20                         1.835       15                         5.25  
+#>   26                         1.935       12                         4.07  
+#>   27                         2.14        25                         3.845 
+#> 
+#> 
+#> 
+#> NULL
+#> 
+#> 
+#> ---------------------------- Frequency Distribution ----------------------------
+#> 
+#>                                 Variable: wt                                  
+#> |---------------------------------------------------------------------------|
+#> |      Bins       | Frequency | Cum Frequency |   Percent    | Cum Percent  |
+#> |---------------------------------------------------------------------------|
+#> |  1.5   -  2.3   |     6     |       6       |    18.75     |    18.75     |
+#> |---------------------------------------------------------------------------|
+#> |  2.3   -  3.1   |     6     |      12       |    18.75     |     37.5     |
+#> |---------------------------------------------------------------------------|
+#> |  3.1   -  3.9   |    16     |      28       |      50      |     87.5     |
+#> |---------------------------------------------------------------------------|
+#> |  3.9   -  4.6   |     1     |      29       |     3.12     |    90.62     |
+#> |---------------------------------------------------------------------------|
+#> |  4.6   -  5.4   |     3     |      32       |     9.38     |     100      |
+#> |---------------------------------------------------------------------------|
+#> |      Total      |    32     |       -       |    100.00    |      -       |
+#> |---------------------------------------------------------------------------|
+#> 
+#> 
+#> -------------------------------- Variable: qsec --------------------------------
+#> 
+#> ------------------------------ Summary Statistics ------------------------------
+#> 
+#> -------------------------------- Variable: qsec --------------------------------
+#> 
+#>                         Univariate Analysis                          
+#> 
+#>  N                       32.00      Variance                 3.19 
+#>  Missing                  0.00      Std Deviation            1.79 
+#>  Mean                    17.85      Range                    8.40 
+#>  Median                  17.71      Interquartile Range      2.01 
+#>  Mode                    17.02      Uncorrected SS       10293.48 
+#>  Trimmed Mean            17.79      Corrected SS            98.99 
+#>  Skewness                 0.41      Coeff Variation         10.01 
+#>  Kurtosis                 0.86      Std Error Mean           0.32 
+#> 
+#>                               Quantiles                               
+#> 
+#>               Quantile                            Value                
+#> 
+#>              Max                                  22.90                
+#>              99%                                  22.07                
+#>              95%                                  20.10                
+#>              90%                                  19.99                
+#>              Q3                                   18.90                
+#>              Median                               17.71                
+#>              Q1                                   16.89                
+#>              10%                                  15.53                
+#>              5%                                   15.05                
+#>              1%                                   14.53                
+#>              Min                                  14.50                
+#> 
+#>                             Extreme Values                            
+#> 
+#>                 Low                                High                
+#> 
+#>   Obs                        Value       Obs                        Value 
+#>   29                         14.5         9                         22.9  
+#>   31                         14.6         6                         20.22 
+#>   24                         15.41       21                         20.01 
+#>   30                         15.5         8                          20   
+#>    7                         15.84       20                         19.9  
+#> 
+#> 
+#> 
+#> NULL
+#> 
+#> 
+#> ---------------------------- Frequency Distribution ----------------------------
+#> 
+#>                               Variable: qsec                                
+#> |-------------------------------------------------------------------------|
+#> |     Bins      | Frequency | Cum Frequency |   Percent    | Cum Percent  |
+#> |-------------------------------------------------------------------------|
+#> | 14.5  - 16.2  |     5     |       5       |    15.62     |    15.62     |
+#> |-------------------------------------------------------------------------|
+#> | 16.2  - 17.9  |    12     |      17       |     37.5     |    53.12     |
+#> |-------------------------------------------------------------------------|
+#> | 17.9  - 19.5  |    10     |      27       |    31.25     |    84.38     |
+#> |-------------------------------------------------------------------------|
+#> | 19.5  - 21.2  |     4     |      31       |     12.5     |    96.88     |
+#> |-------------------------------------------------------------------------|
+#> | 21.2  - 22.9  |     1     |      32       |     3.12     |     100      |
+#> |-------------------------------------------------------------------------|
+#> |     Total     |    32     |       -       |    100.00    |      -       |
+#> |-------------------------------------------------------------------------|
+#> 
+#> 
ds_auto_summary_stats(mtcarz, disp, hp)
#> -------------------------------- Variable: disp --------------------------------
+#> 
+#> ------------------------------ Summary Statistics ------------------------------
+#> 
+#> -------------------------------- Variable: disp --------------------------------
+#> 
+#>                           Univariate Analysis                            
+#> 
+#>  N                         32.00      Variance               15360.80 
+#>  Missing                    0.00      Std Deviation            123.94 
+#>  Mean                     230.72      Range                    400.90 
+#>  Median                   196.30      Interquartile Range      205.18 
+#>  Mode                     275.80      Uncorrected SS       2179627.47 
+#>  Trimmed Mean             228.00      Corrected SS          476184.79 
+#>  Skewness                   0.42      Coeff Variation           53.72 
+#>  Kurtosis                  -1.07      Std Error Mean            21.91 
+#> 
+#>                                 Quantiles                                 
+#> 
+#>                Quantile                              Value                 
+#> 
+#>               Max                                    472.00                
+#>               99%                                    468.28                
+#>               95%                                    449.00                
+#>               90%                                    396.00                
+#>               Q3                                     326.00                
+#>               Median                                 196.30                
+#>               Q1                                     120.83                
+#>               10%                                    80.61                 
+#>               5%                                     77.35                 
+#>               1%                                     72.53                 
+#>               Min                                    71.10                 
+#> 
+#>                               Extreme Values                              
+#> 
+#>                  Low                                  High                 
+#> 
+#>   Obs                          Value       Obs                          Value 
+#>   20                           71.1        15                            472  
+#>   19                           75.7        16                            460  
+#>   18                           78.7        17                            440  
+#>   26                            79         25                            400  
+#>   28                           95.1         5                            360  
+#> 
+#> 
+#> 
+#> NULL
+#> 
+#> 
+#> ---------------------------- Frequency Distribution ----------------------------
+#> 
+#>                                Variable: disp                                 
+#> |---------------------------------------------------------------------------|
+#> |      Bins       | Frequency | Cum Frequency |   Percent    | Cum Percent  |
+#> |---------------------------------------------------------------------------|
+#> |  71.1  - 151.3  |    12     |      12       |     37.5     |     37.5     |
+#> |---------------------------------------------------------------------------|
+#> | 151.3  - 231.5  |     5     |      17       |    15.62     |    53.12     |
+#> |---------------------------------------------------------------------------|
+#> | 231.5  - 311.6  |     6     |      23       |    18.75     |    71.88     |
+#> |---------------------------------------------------------------------------|
+#> | 311.6  - 391.8  |     5     |      28       |    15.62     |     87.5     |
+#> |---------------------------------------------------------------------------|
+#> | 391.8  -  472   |     4     |      32       |     12.5     |     100      |
+#> |---------------------------------------------------------------------------|
+#> |      Total      |    32     |       -       |    100.00    |      -       |
+#> |---------------------------------------------------------------------------|
+#> 
+#> 
+#> --------------------------------- Variable: hp ---------------------------------
+#> 
+#> ------------------------------ Summary Statistics ------------------------------
+#> 
+#> --------------------------------- Variable: hp ---------------------------------
+#> 
+#>                          Univariate Analysis                           
+#> 
+#>  N                        32.00      Variance               4700.87 
+#>  Missing                   0.00      Std Deviation            68.56 
+#>  Mean                    146.69      Range                   283.00 
+#>  Median                  123.00      Interquartile Range      83.50 
+#>  Mode                    110.00      Uncorrected SS       834278.00 
+#>  Trimmed Mean            143.57      Corrected SS         145726.88 
+#>  Skewness                  0.80      Coeff Variation          46.74 
+#>  Kurtosis                  0.28      Std Error Mean           12.12 
+#> 
+#>                                Quantiles                                
+#> 
+#>               Quantile                              Value                
+#> 
+#>              Max                                   335.00                
+#>              99%                                   312.99                
+#>              95%                                   253.55                
+#>              90%                                   243.50                
+#>              Q3                                    180.00                
+#>              Median                                123.00                
+#>              Q1                                     96.50                
+#>              10%                                    66.00                
+#>              5%                                     63.65                
+#>              1%                                     55.10                
+#>              Min                                    52.00                
+#> 
+#>                              Extreme Values                             
+#> 
+#>                  Low                                High                 
+#> 
+#>   Obs                         Value       Obs                         Value 
+#>   19                           52         31                           335  
+#>    8                           62         29                           264  
+#>   20                           65          7                           245  
+#>   18                           66         24                           245  
+#>   26                           66         17                           230  
+#> 
+#> 
+#> 
+#> NULL
+#> 
+#> 
+#> ---------------------------- Frequency Distribution ----------------------------
+#> 
+#>                                Variable: hp                                 
+#> |-------------------------------------------------------------------------|
+#> |     Bins      | Frequency | Cum Frequency |   Percent    | Cum Percent  |
+#> |-------------------------------------------------------------------------|
+#> |  52   - 108.6 |    10     |      10       |    31.25     |    31.25     |
+#> |-------------------------------------------------------------------------|
+#> | 108.6 - 165.2 |     9     |      19       |    28.12     |    59.38     |
+#> |-------------------------------------------------------------------------|
+#> | 165.2 - 221.8 |     8     |      27       |      25      |    84.38     |
+#> |-------------------------------------------------------------------------|
+#> | 221.8 - 278.4 |     4     |      31       |     12.5     |    96.88     |
+#> |-------------------------------------------------------------------------|
+#> | 278.4 -  335  |     1     |      32       |     3.12     |     100      |
+#> |-------------------------------------------------------------------------|
+#> |     Total     |    32     |       -       |    100.00    |      -       |
+#> |-------------------------------------------------------------------------|
+#> 
+#> 

+
+
+ +
+ + +
+ + + + + + diff --git a/docs/reference/ds_cross_table-1.png b/docs/reference/ds_cross_table-1.png index 35ddef9..e7e9a6e 100644 Binary files a/docs/reference/ds_cross_table-1.png and b/docs/reference/ds_cross_table-1.png differ diff --git a/docs/reference/ds_cross_table-2.png b/docs/reference/ds_cross_table-2.png index e527242..07dd9d0 100644 Binary files a/docs/reference/ds_cross_table-2.png and b/docs/reference/ds_cross_table-2.png differ diff --git a/docs/reference/ds_cross_table-3.png b/docs/reference/ds_cross_table-3.png index bea408c..47c28d4 100644 Binary files a/docs/reference/ds_cross_table-3.png and b/docs/reference/ds_cross_table-3.png differ diff --git a/docs/reference/ds_cross_table.html b/docs/reference/ds_cross_table.html index e4d5115..39f861a 100644 --- a/docs/reference/ds_cross_table.html +++ b/docs/reference/ds_cross_table.html @@ -64,7 +64,7 @@ descriptr - 0.4.1.9000 + 0.5.0 @@ -81,10 +81,13 @@ @@ -178,12 +181,6 @@

Arg -

Deprecated function

- - -

ds_cross_table() has been deprecated. Instead use -ds_cross_table().

-

Examples

k <- ds_cross_table(mtcarz, cyl, gear)
@@ -223,26 +220,24 @@ 
Examp
 # bar plots
 plot(k)
plot(k, stacked = TRUE)
plot(k, proportional = TRUE)

 # alternate
-ds_twoway_table(mtcarz, cyl, gear)
#> Joining, by = c("cyl", "gear", "count")
#> # A tibble: 8 x 6
+ds_twoway_table(mtcarz, cyl, gear)
#> Joining, by = c("cyl", "gear", "count")
#> # A tibble: 8 x 6
 #>   cyl   gear  count percent row_percent col_percent
-#>   <fct> <fct> <int>   <dbl>       <dbl>       <dbl>
-#> 1 4     3         1  0.0312      0.0909      0.0667
-#> 2 4     4         8  0.25        0.727       0.667 
-#> 3 4     5         2  0.0625      0.182       0.4   
-#> 4 6     3         2  0.0625      0.286       0.133 
-#> 5 6     4         4  0.125       0.571       0.333 
-#> 6 6     5         1  0.0312      0.143       0.2   
-#> 7 8     3        12  0.375       0.857       0.8   
-#> 8 8     5         2  0.0625      0.143       0.4   

+#>   <fct> <fct> <int>   <dbl>       <dbl>       <dbl>
+#> 1 4     3         1  0.0312      0.0909      0.0667
+#> 2 4     4         8  0.25        0.727       0.667 
+#> 3 4     5         2  0.0625      0.182       0.4   
+#> 4 6     3         2  0.0625      0.286       0.133 
+#> 5 6     4         4  0.125       0.571       0.333 
+#> 6 6     5         1  0.0312      0.143       0.2   
+#> 7 8     3        12  0.375       0.857       0.8   
+#> 8 8     5         2  0.0625      0.143       0.4
@@ -80,10 +80,13 @@ @@ -158,15 +161,6 @@

Details

Any NA values are stripped from x before computation takes place.

-

Deprecated Function

- - -

stat_css() has been deprecated. Instead use ds_css().

- -

References

- -

NIST/SEMATECH e-Handbook of Statistical Methods

-

Examples

ds_css(mtcars$mpg)
#> [1] 1126.047
@@ -179,10 +173,6 @@

Contents

  • Value
  • Details
    • - -
  • Deprecated Function
    • - -
  • References
  • Examples
    • diff --git a/docs/reference/ds_cvar.html b/docs/reference/ds_cvar.html index b915314..a9df89d 100644 --- a/docs/reference/ds_cvar.html +++ b/docs/reference/ds_cvar.html @@ -63,7 +63,7 @@ descriptr - 0.4.1.9000 + 0.5.0 @@ -80,10 +80,13 @@ @@ -154,11 +157,6 @@

    Details

    Any NA values are stripped from x before computation takes place.

    -

    Deprecated Function

    - - -

    stat_cvar() has been deprecated. Instead use ds_cvar().

    -

    Examples

    ds_cvar(mtcars$mpg)
    #> [1] 29.99881
    @@ -169,8 +167,6 @@

    Contents

  • Arguments
  • Details
    • - -
  • Deprecated Function
  • Examples
    • diff --git a/docs/reference/ds_extreme_obs.html b/docs/reference/ds_extreme_obs.html index a74eb56..408af56 100644 --- a/docs/reference/ds_extreme_obs.html +++ b/docs/reference/ds_extreme_obs.html @@ -63,7 +63,7 @@ descriptr - 0.4.1.9000 + 0.5.0 @@ -80,10 +80,13 @@ @@ -151,19 +154,19 @@

    Arg

    Examples

    - 
    ds_extreme_obs(mtcarz, mpg)
    #> # A tibble: 10 x 3
+    
    ds_extreme_obs(mtcarz, mpg)
    #> # A tibble: 10 x 3
 #>    type  value index
-#>    <chr> <dbl> <int>
-#>  1 high   33.9    20
-#>  2 high   32.4    18
-#>  3 high   30.4    19
-#>  4 high   30.4    28
-#>  5 high   27.3    26
-#>  6 low    10.4    15
-#>  7 low    10.4    16
-#>  8 low    13.3    24
-#>  9 low    14.3     7
-#> 10 low    14.7    17
    
+#>    <chr> <dbl> <int>
+#>  1 high   33.9    20
+#>  2 high   32.4    18
+#>  3 high   30.4    19
+#>  4 high   30.4    28
+#>  5 high   27.3    26
+#>  6 low    10.4    15
+#>  7 low    10.4    16
+#>  8 low    13.3    24
+#>  9 low    14.3     7
+#> 10 low    14.7    17
    
 
    
   
    
   
 
@@ -83,10 +83,13 @@
   
   
 
@@ -133,14 +136,14 @@ 
    Frequency table
    
 
     
    
     
-    
    Frequency table for factor data and returns the frequency, cumulative
-frequency, frequency percent and cumulative frequency percent.
-barplot.ds_freq_table() creates bar plot for the
-frequency table created using ds_freq_table().
    
+    
    Frequency table for categorical and continuous data and returns the 
+frequency, cumulative frequency, frequency percent and cumulative frequency 
+percent. plot.ds_freq_table() creates bar plot for the categorical 
+data and histogram for continuous data.
    
     
     
    
 
-    
    ds_freq_table(data, variable)
+    
    ds_freq_table(data, variable, bins = 5)
 
 # S3 method for ds_freq_table
 plot(x, ...)
    
@@ -156,6 +159,10 @@ 
    Arg
       variable
       
    Column in data.
    
     
+    
+      bins
+      
    Number of intervals into which the data must be split.
    
+    
     
       x
       
    An object of class ds_freq_table.
    
@@ -166,26 +173,13 @@ 
    Arg
     
     
     
-    
    Value
    
-
-    
    ds_freq_table returns an object of class "ds_freq_table".
-An object of class "ds_freq_table" is a list containing the
-following components:
    
-
    ftable
    Frequency table.
    
-
-    
-    
    Deprecated function
    
-
-    
-    
    freq_table() has been deprecated. Instead use ds_freq_table().
    
-    
     
    See also
    
 
-    
    ds_freq_cont ds_cross_table
    
+    
    ds_cross_table
    
     
 
     
    Examples
    
-    
    # frequency table
+    
    # categorical data
 ds_freq_table(mtcarz, cyl)
    #>                              Variable: cyl                              
 #> -----------------------------------------------------------------------
 #> Levels     Frequency    Cum Frequency       Percent        Cum Percent  
@@ -202,6 +196,26 @@ 
    Examp
 # barplot
 k <- ds_freq_table(mtcarz, cyl)
 plot(k)
    
+# continuous data
+ds_freq_table(mtcarz, mpg)
    #>                               Variable: mpg                               
+#> |-----------------------------------------------------------------------|
+#> |    Bins     | Frequency | Cum Frequency |   Percent    | Cum Percent  |
+#> |-----------------------------------------------------------------------|
+#> | 10.4 - 15.1 |     6     |       6       |    18.75     |    18.75     |
+#> |-----------------------------------------------------------------------|
+#> | 15.1 - 19.8 |    12     |      18       |     37.5     |    56.25     |
+#> |-----------------------------------------------------------------------|
+#> | 19.8 - 24.5 |     8     |      26       |      25      |    81.25     |
+#> |-----------------------------------------------------------------------|
+#> | 24.5 - 29.2 |     2     |      28       |     6.25     |     87.5     |
+#> |-----------------------------------------------------------------------|
+#> | 29.2 - 33.9 |     4     |      32       |     12.5     |     100      |
+#> |-----------------------------------------------------------------------|
+#> |    Total    |    32     |       -       |    100.00    |      -       |
+#> |-----------------------------------------------------------------------|
    
+# barplot
+k <- ds_freq_table(mtcarz, mpg)
+plot(k)
    
 
    
   
    
   
 
@@ -80,10 +80,13 @@
   
   
 
@@ -160,11 +163,6 @@ 
    Value
    
 
     
    Returns the geometric mean of x
    
     
-    
    Deprecated function
    
-
-    
-    
    gmean() has been deprecated. Instead use ds_gmean().
    
-    
     
    See also
    
 
     
    ds_hmean mean
    
@@ -180,8 +178,6 @@ 
    Contents
    
       
       
  • Value
    • 
 
-      
  • Deprecated function
    • 
-
       
  • See also
    • 
       
       
  • Examples
    • 
diff --git a/docs/reference/ds_group_summary-1.png b/docs/reference/ds_group_summary-1.png
index 0021ed8..5bbdccb 100644
Binary files a/docs/reference/ds_group_summary-1.png and b/docs/reference/ds_group_summary-1.png differ
diff --git a/docs/reference/ds_group_summary.html b/docs/reference/ds_group_summary.html
index ad1d3cc..f0a6cea 100644
--- a/docs/reference/ds_group_summary.html
+++ b/docs/reference/ds_group_summary.html
@@ -65,7 +65,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
 
@@ -82,10 +82,13 @@
   
   
 
@@ -180,12 +183,6 @@ 
    Value
    
 
    plotdata
    Data for boxplot method.
    
 
     
-    
    Deprecated function
    
-
-    
-    
    ds_group_summary() has been deprecated. Instead
-use ds_group_summary().
    
-    
     
    See also
    
 
     
    ds_summary_stats
    
@@ -218,14 +215,14 @@ 
    Examp
 k <- ds_group_summary(mtcarz, cyl, mpg)
 plot(k)
    
 # tibble
-k$tidy_stats
    #> # A tibble: 3 x 15
+k$tidy_stats
    #> # A tibble: 3 x 15
 #>   cyl   length   min   max  mean median  mode    sd variance skewness kurtosis
-#>   <fct>  <int> <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl>    <dbl>    <dbl>    <dbl>
-#> 1 4         11  21.4  33.9  26.7   26    22.8  4.51    20.3     0.348   -1.43 
-#> 2 6          7  17.8  21.4  19.7   19.7  21    1.45     2.11   -0.259   -1.83 
-#> 3 8         14  10.4  19.2  15.1   15.2  10.4  2.56     6.55   -0.456    0.330
-#> # ... with 4 more variables: coeff_var <dbl>, std_error <dbl>, range <dbl>,
-#> #   iqr <dbl>
    
+#>   <fct>  <int> <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl>    <dbl>    <dbl>    <dbl>
+#> 1 4         11  21.4  33.9  26.7   26    22.8  4.51    20.3     0.348   -1.43 
+#> 2 6          7  17.8  21.4  19.7   19.7  21    1.45     2.11   -0.259   -1.83 
+#> 3 8         14  10.4  19.2  15.1   15.2  10.4  2.56     6.55   -0.456    0.330
+#> # ... with 4 more variables: coeff_var <dbl>, std_error <dbl>, range <dbl>,
+#> #   iqr <dbl>
    
 
    
   
   
 
@@ -80,10 +80,13 @@
   
   
 
@@ -160,11 +163,6 @@ 
    Value
    
 
     
    Returns the harmonic mean of x
    
     
-    
    Deprecated function
    
-
-    
-    
    hmean() has been deprecated. Instead use ds_hmean().
    
-    
     
    See also
    
 
     
    ds_gmean mean
    
@@ -180,8 +178,6 @@ 
    Contents
    
       
       
  • Value
    • 
 
-      
  • Deprecated function
    • 
-
       
  • See also
    • 
       
       
  • Examples
    • 
diff --git a/docs/reference/ds_kurtosis.html b/docs/reference/ds_kurtosis.html
index 4325895..f73dff4 100644
--- a/docs/reference/ds_kurtosis.html
+++ b/docs/reference/ds_kurtosis.html
@@ -63,7 +63,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
 
@@ -80,10 +80,13 @@
   
   
 
@@ -158,11 +161,6 @@ 
    Details
     
    Any NA values are stripped from x before computation
 takes place.
    
     
-    
    Deprecated Function
    
-
-    
-    
    kurtosis() has been deprecated. Instead use ds_kurtosis().
    
-    
     
    References
    
 
     
    Sheskin, D.J. (2000) Handbook of Parametric and Nonparametric Statistical Procedures, Second Edition. Boca Raton, Florida: Chapman & Hall/CRC.
    
@@ -184,8 +182,6 @@ 
    Contents
    
 
       
  • Details
    • 
 
-      
  • Deprecated Function
    • 
-
       
  • References
    • 
 
       
  • See also
    • 
diff --git a/docs/reference/ds_launch_shiny_app.html b/docs/reference/ds_launch_shiny_app.html
index f86cd1f..8bfce5e 100644
--- a/docs/reference/ds_launch_shiny_app.html
+++ b/docs/reference/ds_launch_shiny_app.html
@@ -63,7 +63,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
 
@@ -80,10 +80,13 @@
   
   
 
diff --git a/docs/reference/ds_mdev.html b/docs/reference/ds_mdev.html
index 12ed505..774cf9e 100644
--- a/docs/reference/ds_mdev.html
+++ b/docs/reference/ds_mdev.html
@@ -63,7 +63,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
 
@@ -80,10 +80,13 @@
   
   
 
@@ -161,11 +164,6 @@ 
    Details
 mean. Any NA values are stripped from x before computation
 takes place
    
     
-    
    Deprecated Function
    
-
-    
-    
    stat_mdev() has been deprecated. Instead use ds_mdev().
    
-    
     
    See also
    
 
     
    mad
    
@@ -183,8 +181,6 @@ 
    Contents
    
 
       
  • Details
    • 
 
-      
  • Deprecated Function
    • 
-
       
  • See also
    • 
       
       
  • Examples
    • 
diff --git a/docs/reference/ds_measures_location.html b/docs/reference/ds_measures_location.html
index e53784e..8f10fba 100644
--- a/docs/reference/ds_measures_location.html
+++ b/docs/reference/ds_measures_location.html
@@ -63,7 +63,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
 
@@ -80,10 +80,13 @@
   
   
 
@@ -134,7 +137,7 @@ 
    Measures of location
    
     
     
 
-    
    ds_measures_location(data, column, trim = 0.05)
    
+    
    ds_measures_location(data, ..., trim = 0.05)
    
     
     
    Arguments
    
     
@@ -144,8 +147,8 @@ 
    Arg
       
    
-      
-      
+      
+      
@@ -156,10 +159,22 @@ 
    Arg
     
 
     
    Examples
    
-    
    ds_measures_location(mtcarz, mpg)
    #> # A tibble: 1 x 4
-#>    mean trim_mean median  mode
-#>   <dbl>     <dbl>  <dbl> <dbl>
-#> 1  20.1      20.0   19.2  10.4
    
+    
    ds_measures_location(mtcarz)
    #> # A tibble: 6 x 5
+#>   var     mean trim_mean median   mode
+#>   <chr>  <dbl>     <dbl>  <dbl>  <dbl>
+#> 1 disp  231.      228    196.   276.  
+#> 2 drat    3.60      3.58   3.70   3.07
+#> 3 hp    147.      144.   123    110   
+#> 4 mpg    20.1      20.0   19.2   10.4 
+#> 5 qsec   17.8      17.8   17.7   17.0 
+#> 6 wt      3.22      3.20   3.32   3.44
    ds_measures_location(mtcarz, mpg)
    #> # A tibble: 1 x 5
+#>   var    mean trim_mean median  mode
+#>   <chr> <dbl>     <dbl>  <dbl> <dbl>
+#> 1 mpg    20.1      20.0   19.2  10.4
    ds_measures_location(mtcarz, mpg, disp)
    #> # A tibble: 2 x 5
+#>   var    mean trim_mean median  mode
+#>   <chr> <dbl>     <dbl>  <dbl> <dbl>
+#> 1 disp  231.      228    196.  276. 
+#> 2 mpg    20.1      20.0   19.2  10.4
    
 
    
   
    
   
 
@@ -80,10 +80,13 @@
   
   
 
@@ -134,7 +137,7 @@ 
    Measures of symmetry
    
     
     
 
-    
    ds_measures_symmetry(data, column)
    
+    
    ds_measures_symmetry(data, ...)
    
     
     
    Arguments
    
     
    A data.frame or tibble.
    		
     
    
     
    column
    Column in data.
    		...
    Column(s) in data.
    		
     
    
     
    
       trim
    
@@ -144,17 +147,29 @@ 
    Arg
       
    
-      
-      
+      
+      
    A data.frame or tibble.
    		
     
    
     
    column
    Column in data.
    		...
    Column(s) in data.
    		
     
    
     
    
     
 
     
    Examples
    
-    
    ds_measures_symmetry(mtcarz, mpg)
    #> # A tibble: 1 x 2
-#>   skewness kurtosis
-#>      <dbl>    <dbl>
-#> 1    0.672  -0.0220
    
+    
    ds_measures_symmetry(mtcarz)
    #> # A tibble: 6 x 3
+#>   var   skewness kurtosis
+#>   <chr>    <dbl>    <dbl>
+#> 1 disp     0.420  -1.07  
+#> 2 drat     0.293  -0.450 
+#> 3 hp       0.799   0.275 
+#> 4 mpg      0.672  -0.0220
+#> 5 qsec     0.406   0.865 
+#> 6 wt       0.466   0.417 
    ds_measures_symmetry(mtcarz, mpg)
    #> # A tibble: 1 x 3
+#>   var   skewness kurtosis
+#>   <chr>    <dbl>    <dbl>
+#> 1 mpg      0.672  -0.0220
    ds_measures_symmetry(mtcarz, mpg, disp)
    #> # A tibble: 2 x 3
+#>   var   skewness kurtosis
+#>   <chr>    <dbl>    <dbl>
+#> 1 disp     0.420  -1.07  
+#> 2 mpg      0.672  -0.0220
    
 
    
   
    
   
 
@@ -81,10 +81,13 @@
   
   
 
@@ -136,7 +139,7 @@ 
    Measures of variation
    
     
     
 
-    
    ds_measures_variation(data, column)
    
+    
    ds_measures_variation(data, ...)
    
     
     
    Arguments
    
     
@@ -146,17 +149,29 @@ 
    Arg
       
    
-      
-      
+      
+      
    A data.frame or tibble.
    		
     
    
     
    column
    Column in data.
    		...
    Column(s) in data.
    		
     
    
     
    
     
 
     
    Examples
    
-    
    ds_measures_variation(mtcarz, mpg)
    #> # A tibble: 1 x 6
-#>   range   iqr variance    sd coeff_var std_error
-#>   <dbl> <dbl>    <dbl> <dbl>     <dbl>     <dbl>
-#> 1  23.5  7.38     36.3  6.03      30.0      1.07
    
+    
    ds_measures_variation(mtcarz)
    #> # A tibble: 6 x 7
+#>   var    range     iqr  variance      sd coeff_var std_error
+#>   <chr>  <dbl>   <dbl>     <dbl>   <dbl>     <dbl>     <dbl>
+#> 1 disp  401.   205.    15361.    124.         53.7   21.9   
+#> 2 drat    2.17   0.840     0.286   0.535      14.9    0.0945
+#> 3 hp    283     83.5    4701.     68.6        46.7   12.1   
+#> 4 mpg    23.5    7.38     36.3     6.03       30.0    1.07  
+#> 5 qsec    8.40   2.01      3.19    1.79       10.0    0.316 
+#> 6 wt      3.91   1.03      0.957   0.978      30.4    0.173 
    ds_measures_variation(mtcarz, mpg)
    #> # A tibble: 1 x 7
+#>   var   range   iqr variance    sd coeff_var std_error
+#>   <chr> <dbl> <dbl>    <dbl> <dbl>     <dbl>     <dbl>
+#> 1 mpg    23.5  7.38     36.3  6.03      30.0      1.07
    ds_measures_variation(mtcarz, mpg, disp)
    #> # A tibble: 2 x 7
+#>   var   range    iqr variance     sd coeff_var std_error
+#>   <chr> <dbl>  <dbl>    <dbl>  <dbl>     <dbl>     <dbl>
+#> 1 disp  401.  205.    15361.  124.        53.7     21.9 
+#> 2 mpg    23.5   7.38     36.3   6.03      30.0      1.07
    
 
    
   
    
   
 
@@ -80,10 +80,13 @@
   
   
 
@@ -158,11 +161,6 @@ 
    Details
     
    Any NA values are stripped from x before computation
 takes place.
    
     
-    
    Deprecated Function
    
-
-    
-    
    `stat_mode()` has been deprecated. Instead use `ds_mode()`.
    
-    
     
    See also
    
 
     
    mean median
    
@@ -180,8 +178,6 @@ 
    Contents
    
 
       
  • Details
    • 
 
-      
  • Deprecated Function
    • 
-
       
  • See also
    • 
       
       
  • Examples
    • 
diff --git a/docs/reference/ds_percentiles.html b/docs/reference/ds_percentiles.html
index afdb9a8..0ff44e1 100644
--- a/docs/reference/ds_percentiles.html
+++ b/docs/reference/ds_percentiles.html
@@ -63,7 +63,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
 
@@ -80,10 +80,13 @@
   
   
 
@@ -134,7 +137,7 @@ 
    Percentiles
    
     
     
 
-    
    ds_percentiles(data, column)
    
+    
    ds_percentiles(data, ...)
    
     
     
    Arguments
    
     
@@ -144,17 +147,29 @@ 
    Arg
       
    
-      
-      
+      
+      
    A data.frame or tibble.
    		
     
    
     
    column
    Column in data.
    		...
    Column(s) in data.
    		
     
    
     
    
     
 
     
    Examples
    
-    
    ds_percentiles(mtcarz, mpg)
    #> # A tibble: 1 x 11
-#>     min  per1  per5 per10    q1 median    q3 per95 per90 per99   max
-#>   <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
-#> 1  10.4  10.4  12.0  14.3  15.4   19.2  22.8  31.3  30.1  33.4  33.9
    
+    
    ds_percentiles(mtcarz)
    #> # A tibble: 6 x 12
+#>   var     min  per1  per5 per10     q1 median     q3  per95  per90  per99    max
+#>   <chr> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>
+#> 1 disp  71.1  72.5  77.4  80.6  121.   196.   326    449    396.   468.   472   
+#> 2 drat   2.76  2.76  2.85  3.01   3.08   3.70   3.92   4.31   4.21   4.78   4.93
+#> 3 hp    52    55.1  63.6  66     96.5  123    180    254.   244.   313.   335   
+#> 4 mpg   10.4  10.4  12.0  14.3   15.4   19.2   22.8   31.3   30.1   33.4   33.9 
+#> 5 qsec  14.5  14.5  15.0  15.5   16.9   17.7   18.9   20.1   20.0   22.1   22.9 
+#> 6 wt     1.51  1.54  1.74  1.96   2.58   3.32   3.61   5.29   4.05   5.40   5.42
    ds_percentiles(mtcarz, mpg)
    #> # A tibble: 1 x 12
+#>   var     min  per1  per5 per10    q1 median    q3 per95 per90 per99   max
+#>   <chr> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
+#> 1 mpg    10.4  10.4  12.0  14.3  15.4   19.2  22.8  31.3  30.1  33.4  33.9
    ds_percentiles(mtcarz, mpg, disp)
    #> # A tibble: 2 x 12
+#>   var     min  per1  per5 per10    q1 median    q3 per95 per90 per99   max
+#>   <chr> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
+#> 1 disp   71.1  72.5  77.4  80.6 121.   196.  326   449   396.  468.  472  
+#> 2 mpg    10.4  10.4  12.0  14.3  15.4   19.2  22.8  31.3  30.1  33.4  33.9
    
 
    
   
    
   
 
@@ -80,10 +80,13 @@
   
   
 
@@ -153,11 +156,6 @@ 
    Value
    
 
     
    Range of x
    
     
-    
    Deprecated Function
    
-
-    
-    
    stat_range() has been deprecated. Instead use ds_range().
    
-    
     
    See also
    
 
     
    range
    
@@ -173,8 +171,6 @@ 
    Contents
    
       
       
  • Value
    • 
 
-      
  • Deprecated Function
    • 
-
       
  • See also
    • 
       
       
  • Examples
    • 
diff --git a/docs/reference/ds_rindex.html b/docs/reference/ds_rindex.html
index e3542bb..176b385 100644
--- a/docs/reference/ds_rindex.html
+++ b/docs/reference/ds_rindex.html
@@ -63,7 +63,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
 
@@ -80,10 +80,13 @@
   
   
 
@@ -159,11 +162,6 @@ 
    Details
     
    Any NA values are stripped from data and values before
 computation takes place.
    
     
-    
    Deprecated Function
    
-
-    
-    
    rindex() has been deprecated. Instead use ds_rindex().
    
-    
 
     
    Examples
    
     
    ds_rindex(mtcars$mpg, 21)
    #> [1] 1 2
    ds_rindex(mtcars$mpg, 22)
    #> NULL
    
@@ -176,8 +174,6 @@ 
    Contents
    
       
  • Value
    • 
 
       
  • Details
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-
-      
  • Deprecated Function
    • 
       
       
  • Examples
    • 
     
diff --git a/docs/reference/ds_screener.html b/docs/reference/ds_screener.html
index a4509e5..9ec8615 100644
--- a/docs/reference/ds_screener.html
+++ b/docs/reference/ds_screener.html
@@ -65,7 +65,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
 
@@ -82,10 +82,13 @@
   
   
 
@@ -138,7 +141,7 @@ 
    Screen data
    
     
     
 
-    
    ds_screener(y)
+    
    ds_screener(data)
 
 # S3 method for ds_screener
 plot(x, ...)
    
@@ -147,7 +150,7 @@ 
    Arg
     
-      
+      
@@ -182,12 +185,6 @@ 
    Value
    
 data frame.
    
 
     
-    
    Deprecated function
    
-
-    
-    
    screener() has been deprecated. Instead
-use ds_screener().
    
-    
 
     
    Examples
    # screen data
@@ -219,8 +216,6 @@ 
    Contents
    
       
  • Arguments
    • 
       
       
  • Value
    • 
-
-      
  • Deprecated function
    • 
       
       
  • Examples
    • 
     
diff --git a/docs/reference/ds_skewness.html b/docs/reference/ds_skewness.html
index 7d0a70f..ea76932 100644
--- a/docs/reference/ds_skewness.html
+++ b/docs/reference/ds_skewness.html
@@ -63,7 +63,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
    
 
@@ -80,10 +80,13 @@
   
   
 
@@ -158,11 +161,6 @@ 
    Details
     
    Any NA values are stripped from x before computation
 takes place.
    
     
-    
    Deprecated Function
    
-
-    
-    
    skewness() has been deprecated. Instead use ds_skewness().
    
-    
     
    References
    
 
     
    Sheskin, D.J. (2000) Handbook of Parametric and Nonparametric Statistical Procedures, Second Edition. Boca Raton, Florida: Chapman & Hall/CRC.
    
@@ -184,8 +182,6 @@ 
    Contents
    
 
       
  • Details
    • 
 
-      
  • Deprecated Function
    • 
-
       
  • References
    • 
 
       
  • See also
    • 
diff --git a/docs/reference/ds_std_error.html b/docs/reference/ds_std_error.html
index 62622d8..8eefa2a 100644
--- a/docs/reference/ds_std_error.html
+++ b/docs/reference/ds_std_error.html
@@ -63,7 +63,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
 
@@ -80,10 +80,13 @@
   
   
 
diff --git a/docs/reference/ds_summary_stats.html b/docs/reference/ds_summary_stats.html
index ed3ba39..23494c4 100644
--- a/docs/reference/ds_summary_stats.html
+++ b/docs/reference/ds_summary_stats.html
@@ -63,7 +63,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
 
@@ -80,10 +80,13 @@
   
   
 
@@ -134,7 +137,7 @@ 
    Descriptive statistics
    
     
     
 
-    
    ds_summary_stats(data, variable)
    
+    
    ds_summary_stats(data, ...)
    
     
     
    Arguments
    
     
    
     
     
    ydata
       
    A tibble or a data.frame.
    		
     
    
     
    
     
    
@@ -144,25 +147,21 @@ 
    Arg
       
    
-      
-      
+      
+      
    A data.frame or tibble.
    		
     
    
     
    variable
    Column in data.
    		...
    Column(s) in data.
    		
     
    
     
    
     
-    
    Deprecated function
    
-
-    
-    
    summary_stats() has been deprecated. Instead use
-ds_summary_stats().
    
-    
     
    See also
    
 
-    
    summary ds_freq_cont
+    
    summary 
 ds_freq_table ds_cross_table
    
     
 
     
    Examples
    
-    
    ds_summary_stats(mtcarz, mpg)
    #>                         Univariate Analysis                          
+    
    ds_summary_stats(mtcarz, mpg)
    #> --------------------------------- Variable: mpg --------------------------------
+#> 
+#>                         Univariate Analysis                          
 #> 
 #>  N                       32.00      Variance                36.32 
 #>  Missing                  0.00      Std Deviation            6.03 
@@ -198,7 +197,10 @@ 
    Examp
 #>   16                         10.4        18                         32.4  
 #>   24                         13.3        19                         30.4  
 #>    7                         14.3        28                         30.4  
-#>   17                         14.7        26                         27.3  
    
+#>   17                         14.7        26                         27.3  
+#> 
+#> 
+#> 
    
 
    
   
    
   
 
@@ -80,10 +80,13 @@
   
   
 
@@ -163,14 +166,9 @@ 
    Details
     
    Any NA values are stripped from data before computation
 takes place.
    
     
-    
    Deprecated function
    
-
-    
-    
    tailobs() has been deprecated. Instead use ds_tailobs().
    
-    
     
    See also
    
 
-    
    top_n
    
+    
    top_n
    
     
 
     
    Examples
    
@@ -185,8 +183,6 @@ 
    Contents
    
 
       
  • Details
    • 
 
-      
  • Deprecated function
    • 
-
       
  • See also
    • 
       
       
  • Examples
    • 
diff --git a/docs/reference/ds_tidy_stats.html b/docs/reference/ds_tidy_stats.html
new file mode 100644
index 0000000..0b77200
--- /dev/null
+++ b/docs/reference/ds_tidy_stats.html
@@ -0,0 +1,216 @@
+
+
+
+  
+  
+
+
+
+Tidy descriptive statistics — ds_tidy_stats • descriptr
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
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+  
+
+  
+    
    
+      
    
+      
+
+      
+      
    
+
+
    
+  
    
+    
    
+    
    Tidy descriptive statistics
    
+    Source: R/ds-multistats.R
+    
+    
    
+
+    
    
+    
+    
    Descriptive statistics for multiple variables.
    
+    
+    
    
+
+    
    ds_tidy_stats(data, ...)
    
+    
+    
    Arguments
    
+    
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
    data
    A tibble or a data.frame.
    ...
    Columns in x.
    
+    
+    
    Value
    
+
+    
    A tibble.
    
+    
+    
    Deprecated Functions
    
+
+    
+    
    ds_multi_stats() have been deprecated. Instead use ds_tidy_stats().
    
+    
+
+    
    Examples
    
+    
    ds_tidy_stats(mtcarz)
    #> # A tibble: 6 x 16
+#>   vars    min    max   mean t_mean median   mode  range variance   stdev  skew
+#>   <chr> <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>    <dbl>   <dbl> <dbl>
+#> 1 disp  71.1  472    231.   228    196.   276.   401.    1.54e+4 124.    0.420
+#> 2 drat   2.76   4.93   3.60   3.58   3.70   3.07   2.17  2.86e-1   0.535 0.293
+#> 3 hp    52    335    147.   144.   123    110    283     4.70e+3  68.6   0.799
+#> 4 mpg   10.4   33.9   20.1   20.0   19.2   10.4   23.5   3.63e+1   6.03  0.672
+#> 5 qsec  14.5   22.9   17.8   17.8   17.7   17.0    8.40  3.19e+0   1.79  0.406
+#> 6 wt     1.51   5.42   3.22   3.20   3.32   3.44   3.91  9.57e-1   0.978 0.466
+#> # ... with 5 more variables: kurtosis <dbl>, coeff_var <dbl>, q1 <dbl>,
+#> #   q3 <dbl>, iqrange <dbl>
    ds_tidy_stats(mtcarz, mpg, disp, hp)
    #> # A tibble: 3 x 16
+#>   vars    min   max  mean t_mean median  mode range variance  stdev  skew
+#>   <chr> <dbl> <dbl> <dbl>  <dbl>  <dbl> <dbl> <dbl>    <dbl>  <dbl> <dbl>
+#> 1 disp   71.1 472   231.   228    196.  276.  401.   15361.  124.   0.420
+#> 2 hp     52   335   147.   144.   123   110   283     4701.   68.6  0.799
+#> 3 mpg    10.4  33.9  20.1   20.0   19.2  10.4  23.5     36.3   6.03 0.672
+#> # ... with 5 more variables: kurtosis <dbl>, coeff_var <dbl>, q1 <dbl>,
+#> #   q3 <dbl>, iqrange <dbl>
    
+
    
+  
    
+  
+
    
+
+      
+   
    
+
+  
+
+  
+
+
diff --git a/docs/reference/hsb.html b/docs/reference/hsb.html
index 503cb77..084353e 100644
--- a/docs/reference/hsb.html
+++ b/docs/reference/hsb.html
@@ -64,7 +64,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
    
 
@@ -81,10 +81,13 @@
   
   
 
diff --git a/docs/reference/index.html b/docs/reference/index.html
index 6c80fb5..3ff0e39 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -60,7 +60,7 @@
       
       
         descriptr
-        0.4.1.9000
+        0.5.0
       
     
 
@@ -77,10 +77,13 @@
   
   
 
@@ -135,7 +138,7 @@ 
    Reference
    
       
         
           
    Data Screening
    
-          
    The screener() function will screen data frames and return details such as variable names, class, levels and missing values. The plot.screener() creates bar plots to visualize % of missing observations for each variable in a data frame.
    
+          
    The screener() function will screen data frames and return details such as variable names, class, levels and missing values. The plot.screener() creates bar plots to visualize % of missing observations for each variable in a data frame.
    
         
       
       
@@ -148,12 +151,18 @@ 
    
-          
    Descriptive Statistics
    
-          
    The following functions ease the process of generating and visualizing descriptive statistics for categorical and continuous data.
    
+          
    Continuous Data
    
+          
    The following functions ease the process of generating and visualizing descriptive statistics for continuous data.
    
         
       
       
         
+        
+          
    ds_auto_summary_stats() 
    
+        
+        
    Descriptive statistics and frquency tables
    
+      
+        
         
           
    ds_summary_stats() 
    
         
@@ -161,9 +170,9 @@ 
    ds_cross_table() plot(<ds_cross_table>) ds_twoway_table() 
    
+          
    ds_tidy_stats() 
    
         
-        
    Two way table
    
+        
    Tidy descriptive statistics
    
       
         
         
@@ -173,95 +182,135 @@ 
    ds_freq_cont() plot(<ds_freq_cont>) 
    
+          
    ds_measures_location() 
    
         
-        
    Frequency distribution of continuous data
    
+        
    Measures of location
    
       
         
         
-          
    ds_group_summary() plot(<ds_group_summary>) 
    
+          
    ds_measures_variation() 
    
         
-        
    Groupwise descriptive statistics
    
+        
    Measures of variation
    
       
         
         
-          
    ds_multi_stats() 
    
+          
    ds_measures_symmetry() 
    
         
-        
    Multiple variable statistics
    
+        
    Measures of symmetry
    
       
         
         
-          
    ds_oway_tables() ds_tway_tables() 
    
+          
    ds_percentiles() 
    
         
-        
    Multiple One & Two Way Tables
    
+        
    Percentiles
    
       
         
         
-          
    ds_measures_location() 
    
+          
    ds_extreme_obs() 
    
         
-        
    Measures of location
    
-      
+        
    Extreme observations
    
+      
+    
+      
+        
+          
    Categorical Data
    
+          
    The following functions ease the process of generating and visualizing descriptive statistics for categorical data.
    
+        
+      
+      
         
         
-          
    ds_measures_variation() 
    
+          
    ds_freq_table() plot(<ds_freq_table>) 
    
         
-        
    Measures of variation
    
+        
    Frequency table
    
       
         
         
-          
    ds_measures_symmetry() 
    
+          
    ds_cross_table() plot(<ds_cross_table>) ds_twoway_table() 
    
         
-        
    Measures of symmetry
    
+        
    Two way table
    
       
         
         
-          
    ds_percentiles() 
    
+          
    ds_auto_freq_table() ds_auto_cross_table() 
    
         
-        
    Percentiles
    
+        
    Multiple One & Two Way Tables
    
+      
+    
+      
+        
+          
    Grouped Summary
    
+          
    The following functions generate grouped summary statistics.
    
+        
+      
+      
+        
+        
+          
    ds_group_summary() plot(<ds_group_summary>) 
    
+        
+        
    Groupwise descriptive statistics
    
       
         
         
-          
    ds_extreme_obs() 
    
+          
    ds_auto_group_summary() 
    
         
-        
    Extreme observations
    
+        
    Tabulation
    
       
     
       
         
-          
    Distributions
    
-          
    Visualize how different parameters affect the shape of a distribution. Compute/visualize probability from a given quantile and quantiles out of given probability.
    
+          
    Visualization
    
+          
    The following functions generate plots for different data types.
    
         
       
       
         
         
-          
    dist_norm_plot() dist_norm_perc() dist_norm_prob() 
    
+          
    ds_plot_scatter() 
    
+        
+        
    Generate scatter plots
    
+      
+        
+        
+          
    ds_plot_histogram() 
    
+        
+        
    Generate histograms
    
+      
+        
+        
+          
    ds_plot_density() 
    
+        
+        
    Generate density plots
    
+      
+        
+        
+          
    ds_plot_bar() 
    
         
-        
    Visualize normal distribution
    
+        
    Generate bar plots
    
       
         
         
-          
    dist_binom_plot() dist_binom_prob() dist_binom_perc() 
    
+          
    ds_plot_box_single() 
    
         
-        
    Visualize binomial distribution
    
+        
    Generate box plots
    
       
         
         
-          
    dist_chi_plot() dist_chi_perc() dist_chi_prob() 
    
+          
    ds_plot_box_group() 
    
         
-        
    Visualize chi square distribution
    
+        
    Compare distributions
    
       
         
         
-          
    dist_f_plot() dist_f_perc() dist_f_prob() 
    
+          
    ds_plot_bar_stacked() 
    
         
-        
    Visualize f distribution
    
+        
    Generate stacked bar plots
    
       
         
         
-          
    dist_t_plot() dist_t_perc() dist_t_prob() 
    
+          
    ds_plot_bar_grouped() 
    
         
-        
    Visualize t distribution
    
+        
    Generate grouped bar plots
    
       
     
       
@@ -365,8 +414,10 @@ 
    <
     
    Contents
    
         
diff --git a/docs/reference/mtcarz.html b/docs/reference/mtcarz.html
index d93b9b1..9ac2ad8 100644
--- a/docs/reference/mtcarz.html
+++ b/docs/reference/mtcarz.html
@@ -63,7 +63,7 @@
       
       
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-        0.4.1.9000
+        0.5.0
       
     
 
@@ -80,10 +80,13 @@
   
   
 
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index 5ed6e39..98174a4 100644
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+++ b/docs/sitemap.xml
@@ -1,212 +1,144 @@
 
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-  https://descriptr.rsquaredacademy.com/reference/ds_cvar.html
-  2018-09-29T18:17:44+00:00
-  0.64
-
-
-  https://descriptr.rsquaredacademy.com/reference/ds_css.html
-  2018-09-29T18:17:44+00:00
-  0.64
-
-
-  https://descriptr.rsquaredacademy.com/reference/ds_gmean.html
-  2018-09-29T18:17:44+00:00
-  0.64
-
-
-  https://descriptr.rsquaredacademy.com/reference/ds_hmean.html
-  2018-09-29T18:17:44+00:00
-  0.64
-
-
-  https://descriptr.rsquaredacademy.com/reference/ds_tailobs.html
-  2018-09-29T18:17:44+00:00
-  0.64
-
-
-  https://descriptr.rsquaredacademy.com/reference/ds_rindex.html
-  2018-09-29T18:17:44+00:00
-  0.64
-
-
-  https://descriptr.rsquaredacademy.com/reference/hsb.html
-  2018-09-29T18:17:44+00:00
-  0.64
-
-
-  https://descriptr.rsquaredacademy.com/reference/mtcarz.html
-  2018-09-29T18:17:44+00:00
-  0.64
-
-
-
-
\ No newline at end of file
+
+  
+    https://descriptr.rsquaredacademy.com/index.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/descriptr.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/dist_binom_plot.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/dist_chi_plot.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/dist_f_plot.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/dist_norm_plot.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/dist_t.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_auto_freq_table.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_auto_group_summary.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_auto_summary_stats.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_cross_table.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_css.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_cvar.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_extreme_obs.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_freq_table.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_gmean.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_group_summary.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_hmean.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_kurtosis.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_launch_shiny_app.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_mdev.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_measures_location.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_measures_symmetry.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_measures_variation.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_mode.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_percentiles.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_plot_bar.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_plot_bar_grouped.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_plot_bar_stacked.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_plot_box_group.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_plot_box_single.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_plot_density.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_plot_histogram.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_plot_scatter.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_range.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_rindex.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_screener.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_skewness.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_std_error.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_summary_stats.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_tailobs.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/ds_tidy_stats.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/hsb.html
+  
+  
+    https://descriptr.rsquaredacademy.com/reference/mtcarz.html
+  
+  
+    https://descriptr.rsquaredacademy.com/articles/categorical-data.html
+  
+  
+    https://descriptr.rsquaredacademy.com/articles/continuous-data.html
+  
+  
+    https://descriptr.rsquaredacademy.com/articles/visualization.html
+  
+
diff --git a/man/ds_auto_summary_stats.Rd b/man/ds_auto_summary_stats.Rd
index 2c91acf..ff6f315 100644
--- a/man/ds_auto_summary_stats.Rd
+++ b/man/ds_auto_summary_stats.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/ds-auto-summary.R
 \name{ds_auto_summary_stats}
 \alias{ds_auto_summary_stats}
-\title{Summary statistics}
+\title{Descriptive statistics and frquency tables}
 \usage{
 ds_auto_summary_stats(data, ...)
 }
@@ -12,7 +12,7 @@ ds_auto_summary_stats(data, ...)
 \item{...}{Column(s) in \code{data}.}
 }
 \description{
-Generate summary statistics for all continuous variables in data.
+Generate summary statistics & frequency table for all continuous variables in data.
 }
 \examples{
 ds_auto_summary_stats(mtcarz)
diff --git a/man/ds_plot_box_group.Rd b/man/ds_plot_box_group.Rd
index d267a30..fba140e 100644
--- a/man/ds_plot_box_group.Rd
+++ b/man/ds_plot_box_group.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/ds-plots.R
 \name{ds_plot_box_group}
 \alias{ds_plot_box_group}
-\title{Compate distributions}
+\title{Compare distributions}
 \usage{
 ds_plot_box_group(data, ...)
 }
diff --git a/man/ds_plot_scatter.Rd b/man/ds_plot_scatter.Rd
index ceb1223..31c7216 100644
--- a/man/ds_plot_scatter.Rd
+++ b/man/ds_plot_scatter.Rd
@@ -16,6 +16,6 @@ Creates scatter plots if the data has continuous variables.
 }
 \examples{
 ds_plot_scatter(mtcarz)
-ds_plot_scatter(mtcarz, mpg, disp, hp)
+ds_plot_scatter(mtcarz, mpg, disp)
 
 }
diff --git a/man/ds_tidy_stats.Rd b/man/ds_tidy_stats.Rd
index f78cf19..41fab65 100644
--- a/man/ds_tidy_stats.Rd
+++ b/man/ds_tidy_stats.Rd
@@ -3,7 +3,7 @@
 \name{ds_tidy_stats}
 \alias{ds_tidy_stats}
 \alias{ds_multi_stats}
-\title{Multiple variable statistics}
+\title{Tidy descriptive statistics}
 \usage{
 ds_tidy_stats(data, ...)
 }
diff --git a/revdep/.cache.rds b/revdep/.cache.rds
new file mode 100644
index 0000000..508f785
Binary files /dev/null and b/revdep/.cache.rds differ
diff --git a/revdep/.gitignore b/revdep/.gitignore
new file mode 100644
index 0000000..31f6c40
--- /dev/null
+++ b/revdep/.gitignore
@@ -0,0 +1,6 @@
+checks
+library
+checks.noindex
+library.noindex
+data.sqlite
+*.html
diff --git a/revdep/README.md b/revdep/README.md
new file mode 100644
index 0000000..1e9697d
--- /dev/null
+++ b/revdep/README.md
@@ -0,0 +1,88 @@
+# Platform
+
+|field    |value                        |
+|:--------|:----------------------------|
+|version  |R version 3.5.1 (2018-07-02) |
+|os       |Windows >= 8 x64             |
+|system   |x86_64, mingw32              |
+|ui       |RStudio                      |
+|language |(EN)                         |
+|collate  |English_India.1252           |
+|ctype    |English_India.1252           |
+|tz       |Asia/Calcutta                |
+|date     |2019-01-21                   |
+
+# Dependencies
+
+|package       |old      |new      |  |
+|:-------------|:--------|:--------|:--|
+|descriptr     |0.4.1    |0.5.0    |*  |
+|assertthat    |0.2.0    |0.2.0    |   |
+|BH            |1.69.0-1 |1.69.0-1 |   |
+|bindr         |0.1.1    |0.1.1    |   |
+|bindrcpp      |0.2.2    |0.2.2    |   |
+|cli           |1.0.1    |1.0.1    |   |
+|colorspace    |1.4-0    |1.4-0    |   |
+|crayon        |1.3.4    |1.3.4    |   |
+|digest        |0.6.18   |0.6.18   |   |
+|dplyr         |0.7.8    |0.7.8    |   |
+|fansi         |0.4.0    |0.4.0    |   |
+|forcats       |0.3.0    |0.3.0    |   |
+|ggplot2       |3.1.0    |3.1.0    |   |
+|glue          |1.3.0    |1.3.0    |   |
+|gridExtra     |NA       |2.3      |*  |
+|gtable        |0.2.0    |0.2.0    |   |
+|htmltools     |0.3.6    |0.3.6    |   |
+|httpuv        |1.4.5.1  |1.4.5.1  |   |
+|jsonlite      |1.6      |1.6      |   |
+|labeling      |0.3      |0.3      |   |
+|later         |0.7.5    |0.7.5    |   |
+|lazyeval      |0.2.1    |0.2.1    |   |
+|magrittr      |1.5      |1.5      |   |
+|mime          |0.6      |0.6      |   |
+|munsell       |0.5.0    |0.5.0    |   |
+|pillar        |1.3.1    |1.3.1    |   |
+|pkgconfig     |2.0.2    |2.0.2    |   |
+|plogr         |0.2.0    |0.2.0    |   |
+|plyr          |1.8.4    |1.8.4    |   |
+|promises      |1.0.1    |1.0.1    |   |
+|purrr         |0.2.5    |0.2.5    |   |
+|R6            |2.3.0    |2.3.0    |   |
+|RColorBrewer  |1.1-2    |1.1-2    |   |
+|Rcpp          |1.0.0    |1.0.0    |   |
+|reshape2      |1.4.3    |1.4.3    |   |
+|rlang         |0.3.1    |0.3.1    |   |
+|scales        |1.0.0    |1.0.0    |   |
+|shiny         |1.2.0    |1.2.0    |   |
+|sourcetools   |0.1.7    |0.1.7    |   |
+|stringi       |1.2.4    |1.2.4    |   |
+|stringr       |1.3.1    |1.3.1    |   |
+|tibble        |2.0.1    |2.0.1    |   |
+|tidyr         |0.8.2    |0.8.2    |   |
+|tidyselect    |0.2.5    |0.2.5    |   |
+|utf8          |1.1.4    |1.1.4    |   |
+|viridisLite   |0.3.0    |0.3.0    |   |
+|vistributions |NA       |0.1.0    |*  |
+|withr         |2.1.2    |2.1.2    |   |
+|xplorerr      |NA       |0.1.0    |*  |
+|xtable        |1.8-3    |1.8-3    |   |
+
+# Revdeps
+
+## Couldn't check (3)
+
+|package  |version |error |warning |note |
+|:--------|:-------|:-----|:-------|:----|
+|blorr    |?       |      |        |     |
+|olsrr    |?       |      |        |     |
+|xplorerr |?       |      |        |     |
+
+## All (4)
+
+|package  |version |error |warning |note |
+|:--------|:-------|:-----|:-------|:----|
+|blorr    |?       |      |        |     |
+|inferr   |0.3.0   |      |        |     |
+|olsrr    |?       |      |        |     |
+|xplorerr |?       |      |        |     |
+
diff --git a/revdep/email.yml b/revdep/email.yml
new file mode 100644
index 0000000..18c2a59
--- /dev/null
+++ b/revdep/email.yml
@@ -0,0 +1,4 @@
+release_date: ???
+rel_release_date: ???
+my_news_url: ???
+release_version: ???
diff --git a/revdep/problems.md b/revdep/problems.md
new file mode 100644
index 0000000..e69de29
diff --git a/tests/README.md b/tests/README.md
index 43fa0e4..1a41330 100644
--- a/tests/README.md
+++ b/tests/README.md
@@ -1,6 +1,6 @@
 Tests and Coverage
 ================
-18 January, 2019 23:31:53
+22 January, 2019 12:11:56
 
 This output is created by
 [covrpage](https://github.com/yonicd/covrpage).
@@ -12,29 +12,30 @@ Coverage summary is created using the
 
 | Object                                                | Coverage (%) |
 | :---------------------------------------------------- | :----------: |
-| descriptr                                             |    64.78     |
-| [R/ds-cross-mult.R](../R/ds-cross-mult.R)             |     0.00     |
-| [R/ds-freq-mult.R](../R/ds-freq-mult.R)               |     0.00     |
+| descriptr                                             |    78.19     |
 | [R/ds-launch-shiny-app.R](../R/ds-launch-shiny-app.R) |     0.00     |
 | [R/zzz.R](../R/zzz.R)                                 |     5.56     |
-| [R/ds-mult-table.R](../R/ds-mult-table.R)             |    41.38     |
 | [R/ds-plots.R](../R/ds-plots.R)                       |    41.84     |
-| [R/ds-auto-summary.R](../R/ds-auto-summary.R)         |    44.44     |
-| [R/ds-freq-table.R](../R/ds-freq-table.R)             |    65.38     |
+| [R/ds-freq-table.R](../R/ds-freq-table.R)             |    56.25     |
+| [R/ds-freq-factor.R](../R/ds-freq-factor.R)           |    65.33     |
+| [R/ds-freq-numeric.R](../R/ds-freq-numeric.R)         |    66.67     |
 | [R/ds-cross-table.R](../R/ds-cross-table.R)           |    67.13     |
-| [R/ds-freq-cont.R](../R/ds-freq-cont.R)               |    67.86     |
-| [R/ds-output.R](../R/ds-output.R)                     |    69.97     |
+| [R/ds-multistats.R](../R/ds-multistats.R)             |    71.43     |
 | [R/ds-screener.R](../R/ds-screener.R)                 |    71.64     |
-| [R/ds-group-summary.R](../R/ds-group-summary.R)       |    72.84     |
-| [R/ds-summary-stats.R](../R/ds-summary-stats.R)       |    74.60     |
-| [R/ds-multistats.R](../R/ds-multistats.R)             |    78.95     |
-| [R/ds-utils.R](../R/ds-utils.R)                       |    91.14     |
+| [R/ds-group-summary.R](../R/ds-group-summary.R)       |    74.07     |
+| [R/ds-freq-mult.R](../R/ds-freq-mult.R)               |    86.79     |
+| [R/ds-mult-table.R](../R/ds-mult-table.R)             |    87.93     |
+| [R/ds-utils.R](../R/ds-utils.R)                       |    91.77     |
+| [R/ds-output.R](../R/ds-output.R)                     |    92.49     |
+| [R/ds-auto-summary.R](../R/ds-auto-summary.R)         |    93.65     |
 | [R/ds-describe.R](../R/ds-describe.R)                 |    97.86     |
+| [R/ds-summary-stats.R](../R/ds-summary-stats.R)       |    98.48     |
 | [R/dist-binomial.R](../R/dist-binomial.R)             |    100.00    |
 | [R/dist-chisquare.R](../R/dist-chisquare.R)           |    100.00    |
 | [R/dist-f.R](../R/dist-f.R)                           |    100.00    |
 | [R/dist-normal.R](../R/dist-normal.R)                 |    100.00    |
 | [R/dist-t.R](../R/dist-t.R)                           |    100.00    |
+| [R/ds-cross-mult.R](../R/ds-cross-mult.R)             |    100.00    |
 
 
    
 
@@ -46,23 +47,22 @@ package.
 
 |                      | file                                                  |  n |  time | error | failed | skipped | warning |
 | -------------------- | :---------------------------------------------------- | -: | ----: | ----: | -----: | ------: | ------: |
-| test-auto-summary.R  | [test-auto-summary.R](testthat/test-auto-summary.R)   | 11 | 11.38 |     0 |      0 |       0 |       0 |
-| test-binom-dist.R    | [test-binom-dist.R](testthat/test-binom-dist.R)       |  3 |  8.91 |     0 |      0 |       0 |       0 |
-| test-chi-dist.R      | [test-chi-dist.R](testthat/test-chi-dist.R)           |  3 |  8.20 |     0 |      0 |       0 |       0 |
-| test-cross-table.R   | [test-cross-table.R](testthat/test-cross-table.R)     | 29 |  7.59 |     0 |      0 |       1 |       0 |
-| test-describe.R      | [test-describe.R](testthat/test-describe.R)           | 97 | 12.58 |     0 |      0 |       0 |       0 |
-| test-f-dist.R        | [test-f-dist.R](testthat/test-f-dist.R)               |  3 |  2.85 |     0 |      0 |       0 |       0 |
-| test-freq-cont.R     | [test-freq-cont.R](testthat/test-freq-cont.R)         | 11 |  0.83 |     0 |      0 |       1 |       0 |
-| test-freq-table.R    | [test-freq-table.R](testthat/test-freq-table.R)       |  8 |  0.83 |     0 |      0 |       1 |       0 |
-| test-group-summary.R | [test-group-summary.R](testthat/test-group-summary.R) |  9 |  1.83 |     0 |      0 |       1 |       0 |
-| test-multistats.R    | [test-multistats.R](testthat/test-multistats.R)       |  1 |  0.32 |     0 |      0 |       0 |       0 |
-| test-normal-dist.R   | [test-normal-dist.R](testthat/test-normal-dist.R)     |  3 |  8.85 |     0 |      0 |       0 |       0 |
-| test-output.R        | [test-output.R](testthat/test-output.R)               |  9 |  3.36 |     0 |      0 |       0 |       2 |
-| test-plots.R         | [test-plots.R](testthat/test-plots.R)                 | 21 | 17.88 |     0 |      0 |       0 |       0 |
-| test-screen.R        | [test-screen.R](testthat/test-screen.R)               | 14 |  1.14 |     0 |      0 |       0 |       0 |
-| test-summary-stats.R | [test-summary-stats.R](testthat/test-summary-stats.R) |  2 |  0.67 |     0 |      0 |       0 |       0 |
-| test-t-dist.R        | [test-t-dist.R](testthat/test-t-dist.R)               |  3 |  5.09 |     0 |      0 |       0 |       0 |
-| test-utils.R         | [test-utils.R](testthat/test-utils.R)                 | 34 |  0.62 |     0 |      0 |       0 |       0 |
+| test-auto-summary.R  | [test-auto-summary.R](testthat/test-auto-summary.R)   | 14 | 13.33 |     0 |      0 |       0 |       0 |
+| test-binom-dist.R    | [test-binom-dist.R](testthat/test-binom-dist.R)       |  3 | 11.81 |     0 |      0 |       0 |       0 |
+| test-chi-dist.R      | [test-chi-dist.R](testthat/test-chi-dist.R)           |  3 |  8.64 |     0 |      0 |       0 |       0 |
+| test-cross-table.R   | [test-cross-table.R](testthat/test-cross-table.R)     | 29 | 10.16 |     0 |      0 |       1 |       0 |
+| test-describe.R      | [test-describe.R](testthat/test-describe.R)           | 97 | 12.70 |     0 |      0 |       0 |       0 |
+| test-f-dist.R        | [test-f-dist.R](testthat/test-f-dist.R)               |  3 |  5.75 |     0 |      0 |       0 |       0 |
+| test-freq-table.R    | [test-freq-table.R](testthat/test-freq-table.R)       | 16 |  0.41 |     0 |      0 |       2 |       0 |
+| test-group-summary.R | [test-group-summary.R](testthat/test-group-summary.R) |  9 |  2.67 |     0 |      0 |       1 |       0 |
+| test-multistats.R    | [test-multistats.R](testthat/test-multistats.R)       |  1 |  0.33 |     0 |      0 |       0 |       0 |
+| test-normal-dist.R   | [test-normal-dist.R](testthat/test-normal-dist.R)     |  3 |  7.08 |     0 |      0 |       0 |       0 |
+| test-output.R        | [test-output.R](testthat/test-output.R)               |  7 |  3.24 |     0 |      0 |       0 |       0 |
+| test-plots.R         | [test-plots.R](testthat/test-plots.R)                 | 21 | 31.72 |     0 |      0 |       0 |       0 |
+| test-screen.R        | [test-screen.R](testthat/test-screen.R)               | 14 |  1.05 |     0 |      0 |       0 |       0 |
+| test-summary-stats.R | [test-summary-stats.R](testthat/test-summary-stats.R) |  3 |  1.54 |     0 |      0 |       0 |       0 |
+| test-t-dist.R        | [test-t-dist.R](testthat/test-t-dist.R)               |  3 |  4.26 |     0 |      0 |       0 |       0 |
+| test-utils.R         | [test-utils.R](testthat/test-utils.R)                 | 35 |  0.42 |     0 |      0 |       0 |       0 |
 
 
    
 
@@ -71,127 +71,129 @@ package.
 
 | file                                                          | context            | test                                                       | status  |  n | time |
 | :------------------------------------------------------------ | :----------------- | :--------------------------------------------------------- | :------ | -: | ---: |
-| [test-auto-summary.R](testthat/test-auto-summary.R#L7)        | test-auto-summary  | ds\_auto\_summary throws errors as expected                | PASS    |  2 | 2.05 |
-| [test-auto-summary.R](testthat/test-auto-summary.R#L12)       | test-auto-summary  | ds\_auto\_group\_summary throws errors as expected         | PASS    |  4 | 4.28 |
-| [test-auto-summary.R](testthat/test-auto-summary.R#L19)       | test-auto-summary  | ds\_auto\_tabulation throws errors as expected             | PASS    |  2 | 2.13 |
-| [test-auto-summary.R](testthat/test-auto-summary.R#L24)       | test-auto-summary  | ds\_auto\_cross\_table throws errors as expected           | PASS    |  3 | 2.92 |
-| [test-binom-dist.R](testthat/test-binom-dist.R#L4)            | binom\_dist        | dist\_binom\_plot throws the appropriate warning           | PASS    |  1 | 5.04 |
-| [test-binom-dist.R](testthat/test-binom-dist.R#L8)            | binom\_dist        | dist\_binom\_prob throws the appropriate warning           | PASS    |  1 | 2.41 |
-| [test-binom-dist.R](testthat/test-binom-dist.R#L12)           | binom\_dist        | dist\_binom\_perc throws the appropriate warning           | PASS    |  1 | 1.46 |
-| [test-chi-dist.R](testthat/test-chi-dist.R#L4)                | chi-dist           | dist\_chi\_plot throws the appropriate warning             | PASS    |  1 | 0.17 |
-| [test-chi-dist.R](testthat/test-chi-dist.R#L8)                | chi-dist           | dist\_chi\_prob throws the appropriate warning             | PASS    |  1 | 5.32 |
-| [test-chi-dist.R](testthat/test-chi-dist.R#L12)               | chi-dist           | dist\_chi\_perc throws the appropriate warning             | PASS    |  1 | 2.71 |
-| [test-cross-table.R](testthat/test-cross-table.R#L6)          | ds\_cross\_table   | output from ds\_cross\_table matches expected results      | PASS    | 21 | 0.18 |
-| [test-cross-table.R](testthat/test-cross-table.R#L51)         | ds\_cross\_table   | ouput from plot.ds\_cross\_table matches expected output   | SKIPPED |  1 | 0.00 |
-| [test-cross-table.R](testthat/test-cross-table.R#L72)         | ds\_cross\_table   | ds\_cross\_table throws appropriate error                  | PASS    |  3 | 3.10 |
-| [test-cross-table.R](testthat/test-cross-table.R#L81)         | ds\_cross\_table   | output from ds\_twoway\_table is as expected               | PASS    |  1 | 0.47 |
-| [test-cross-table.R](testthat/test-cross-table.R#L87)         | ds\_cross\_table   | ds\_twoway\_table throws appropriate error                 | PASS    |  3 | 3.84 |
-| [test-describe.R](testthat/test-describe.R#L4)                | describe           | output from ds\_tailobs match expected result              | PASS    |  2 | 0.14 |
-| [test-describe.R](testthat/test-describe.R#L10)               | describe           | ds\_tailobs returns the appropriate error                  | PASS    |  5 | 0.06 |
-| [test-describe.R](testthat/test-describe.R#L19)               | describe           | output from ds\_rindex match expected result               | PASS    |  4 | 0.19 |
-| [test-describe.R](testthat/test-describe.R#L27)               | describe           | ds\_rindex returns the appropriate error                   | PASS    |  3 | 0.04 |
-| [test-describe.R](testthat/test-describe.R#L34)               | describe           | output from ds\_skewness matches expected result           | PASS    |  6 | 0.08 |
-| [test-describe.R](testthat/test-describe.R#L44)               | describe           | ds\_skewness returns the appropriate error                 | PASS    |  2 | 0.03 |
-| [test-describe.R](testthat/test-describe.R#L50)               | describe           | output from ds\_kurtosis matches expected result           | PASS    |  6 | 0.36 |
-| [test-describe.R](testthat/test-describe.R#L60)               | describe           | ds\_kurtosis returns the appropriate error                 | PASS    |  2 | 0.03 |
-| [test-describe.R](testthat/test-describe.R#L66)               | describe           | ds\_css matches `Sum Sq` from anova                        | PASS    |  6 | 0.44 |
-| [test-describe.R](testthat/test-describe.R#L76)               | describe           | ds\_css returns the appropriate error                      | PASS    |  2 | 0.11 |
-| [test-describe.R](testthat/test-describe.R#L82)               | describe           | output from ds\_cvar matches the expected result           | PASS    |  2 | 0.03 |
-| [test-describe.R](testthat/test-describe.R#L88)               | describe           | ds\_cvar returns the appropriate error                     | PASS    |  2 | 0.02 |
-| [test-describe.R](testthat/test-describe.R#L94)               | describe           | output from ds\_mode matches the expected result           | PASS    |  6 | 0.40 |
-| [test-describe.R](testthat/test-describe.R#L104)              | describe           | ds\_mode returns the appropriate error                     | PASS    |  2 | 0.07 |
-| [test-describe.R](testthat/test-describe.R#L110)              | describe           | output from ds\_range matches the expected result          | PASS    |  6 | 0.15 |
-| [test-describe.R](testthat/test-describe.R#L120)              | describe           | ds\_range returns the appropriate error                    | PASS    |  2 | 0.02 |
-| [test-describe.R](testthat/test-describe.R#L126)              | describe           | output from ds\_mdev matches the expected result           | PASS    |  6 | 0.05 |
-| [test-describe.R](testthat/test-describe.R#L136)              | describe           | output from ds\_mdev matches the expected result           | PASS    |  2 | 0.02 |
-| [test-describe.R](testthat/test-describe.R#L141)              | describe           | ds\_mdev returns the appropriate error                     | PASS    |  2 | 0.01 |
-| [test-describe.R](testthat/test-describe.R#L147)              | describe           | output from ds\_hmean matches the expected output          | PASS    |  3 | 0.02 |
+| [test-auto-summary.R](testthat/test-auto-summary.R#L7)        | test-auto-summary  | ds\_auto\_summary throws errors as expected                | PASS    |  2 | 2.18 |
+| [test-auto-summary.R](testthat/test-auto-summary.R#L12)       | test-auto-summary  | ds\_auto\_group\_summary throws errors as expected         | PASS    |  4 | 3.72 |
+| [test-auto-summary.R](testthat/test-auto-summary.R#L19)       | test-auto-summary  | ds\_auto\_freq\_table throws errors as expected            | PASS    |  2 | 1.85 |
+| [test-auto-summary.R](testthat/test-auto-summary.R#L24)       | test-auto-summary  | ds\_auto\_cross\_table throws errors as expected           | PASS    |  3 | 2.80 |
+| [test-auto-summary.R](testthat/test-auto-summary.R#L94)       | test-auto-summary  | output from ds\_auto\_summary is as expected               | PASS    |  1 | 1.42 |
+| [test-auto-summary.R](testthat/test-auto-summary.R#L124)      | test-auto-summary  | output from ds\_auto\_group\_summary is as expected        | PASS    |  1 | 1.00 |
+| [test-auto-summary.R](testthat/test-auto-summary.R#L168)      | test-auto-summary  | output from ds\_auto\_cross\_table is as expected          | PASS    |  1 | 0.36 |
+| [test-binom-dist.R](testthat/test-binom-dist.R#L4)            | binom\_dist        | dist\_binom\_plot throws the appropriate warning           | PASS    |  1 | 6.67 |
+| [test-binom-dist.R](testthat/test-binom-dist.R#L8)            | binom\_dist        | dist\_binom\_prob throws the appropriate warning           | PASS    |  1 | 3.06 |
+| [test-binom-dist.R](testthat/test-binom-dist.R#L12)           | binom\_dist        | dist\_binom\_perc throws the appropriate warning           | PASS    |  1 | 2.08 |
+| [test-chi-dist.R](testthat/test-chi-dist.R#L4)                | chi-dist           | dist\_chi\_plot throws the appropriate warning             | PASS    |  1 | 0.21 |
+| [test-chi-dist.R](testthat/test-chi-dist.R#L8)                | chi-dist           | dist\_chi\_prob throws the appropriate warning             | PASS    |  1 | 5.19 |
+| [test-chi-dist.R](testthat/test-chi-dist.R#L12)               | chi-dist           | dist\_chi\_perc throws the appropriate warning             | PASS    |  1 | 3.24 |
+| [test-cross-table.R](testthat/test-cross-table.R#L6)          | ds\_cross\_table   | output from ds\_cross\_table matches expected results      | PASS    | 21 | 0.79 |
+| [test-cross-table.R](testthat/test-cross-table.R#L51)         | ds\_cross\_table   | ouput from plot.ds\_cross\_table matches expected output   | SKIPPED |  1 | 0.01 |
+| [test-cross-table.R](testthat/test-cross-table.R#L72)         | ds\_cross\_table   | ds\_cross\_table throws appropriate error                  | PASS    |  3 | 3.29 |
+| [test-cross-table.R](testthat/test-cross-table.R#L81)         | ds\_cross\_table   | output from ds\_twoway\_table is as expected               | PASS    |  1 | 0.19 |
+| [test-cross-table.R](testthat/test-cross-table.R#L87)         | ds\_cross\_table   | ds\_twoway\_table throws appropriate error                 | PASS    |  3 | 5.88 |
+| [test-describe.R](testthat/test-describe.R#L4)                | describe           | output from ds\_tailobs match expected result              | PASS    |  2 | 0.16 |
+| [test-describe.R](testthat/test-describe.R#L10)               | describe           | ds\_tailobs returns the appropriate error                  | PASS    |  5 | 0.09 |
+| [test-describe.R](testthat/test-describe.R#L19)               | describe           | output from ds\_rindex match expected result               | PASS    |  4 | 0.14 |
+| [test-describe.R](testthat/test-describe.R#L27)               | describe           | ds\_rindex returns the appropriate error                   | PASS    |  3 | 0.09 |
+| [test-describe.R](testthat/test-describe.R#L34)               | describe           | output from ds\_skewness matches expected result           | PASS    |  6 | 0.11 |
+| [test-describe.R](testthat/test-describe.R#L44)               | describe           | ds\_skewness returns the appropriate error                 | PASS    |  2 | 0.05 |
+| [test-describe.R](testthat/test-describe.R#L50)               | describe           | output from ds\_kurtosis matches expected result           | PASS    |  6 | 0.27 |
+| [test-describe.R](testthat/test-describe.R#L60)               | describe           | ds\_kurtosis returns the appropriate error                 | PASS    |  2 | 0.04 |
+| [test-describe.R](testthat/test-describe.R#L66)               | describe           | ds\_css matches `Sum Sq` from anova                        | PASS    |  6 | 0.63 |
+| [test-describe.R](testthat/test-describe.R#L76)               | describe           | ds\_css returns the appropriate error                      | PASS    |  2 | 0.04 |
+| [test-describe.R](testthat/test-describe.R#L82)               | describe           | output from ds\_cvar matches the expected result           | PASS    |  2 | 0.08 |
+| [test-describe.R](testthat/test-describe.R#L88)               | describe           | ds\_cvar returns the appropriate error                     | PASS    |  2 | 0.10 |
+| [test-describe.R](testthat/test-describe.R#L94)               | describe           | output from ds\_mode matches the expected result           | PASS    |  6 | 0.54 |
+| [test-describe.R](testthat/test-describe.R#L104)              | describe           | ds\_mode returns the appropriate error                     | PASS    |  2 | 0.02 |
+| [test-describe.R](testthat/test-describe.R#L110)              | describe           | output from ds\_range matches the expected result          | PASS    |  6 | 0.11 |
+| [test-describe.R](testthat/test-describe.R#L120)              | describe           | ds\_range returns the appropriate error                    | PASS    |  2 | 0.01 |
+| [test-describe.R](testthat/test-describe.R#L126)              | describe           | output from ds\_mdev matches the expected result           | PASS    |  6 | 0.13 |
+| [test-describe.R](testthat/test-describe.R#L136)              | describe           | output from ds\_mdev matches the expected result           | PASS    |  2 | 0.01 |
+| [test-describe.R](testthat/test-describe.R#L141)              | describe           | ds\_mdev returns the appropriate error                     | PASS    |  2 | 0.02 |
+| [test-describe.R](testthat/test-describe.R#L147)              | describe           | output from ds\_hmean matches the expected output          | PASS    |  3 | 0.06 |
 | [test-describe.R](testthat/test-describe.R#L153)              | describe           | ds\_hmean throws the appropriate error                     | PASS    |  2 | 0.01 |
-| [test-describe.R](testthat/test-describe.R#L159)              | describe           | output from ds\_gmean matches the expected output          | PASS    |  3 | 0.01 |
+| [test-describe.R](testthat/test-describe.R#L159)              | describe           | output from ds\_gmean matches the expected output          | PASS    |  3 | 0.05 |
 | [test-describe.R](testthat/test-describe.R#L166)              | describe           | ds\_gmean throws the appropriate error                     | PASS    |  2 | 0.02 |
-| [test-describe.R](testthat/test-describe.R#L174)              | describe           | output from ds\_measures\_location is as expected          | PASS    |  1 | 0.31 |
-| [test-describe.R](testthat/test-describe.R#L182)              | describe           | output from ds\_measures\_location is as expected          | PASS    |  1 | 0.21 |
-| [test-describe.R](testthat/test-describe.R#L189)              | describe           | ds\_measures\_location throws appropriate errors           | PASS    |  1 | 0.98 |
-| [test-describe.R](testthat/test-describe.R#L196)              | describe           | ds\_measures\_location throws appropriate errors           | PASS    |  1 | 1.05 |
-| [test-describe.R](testthat/test-describe.R#L204)              | describe           | output from ds\_measures\_variation is as expected         | PASS    |  1 | 0.98 |
-| [test-describe.R](testthat/test-describe.R#L212)              | describe           | output from ds\_measures\_variation is as expected         | PASS    |  1 | 0.33 |
-| [test-describe.R](testthat/test-describe.R#L219)              | describe           | ds\_measures\_variation throws appropriate errors          | PASS    |  1 | 1.06 |
-| [test-describe.R](testthat/test-describe.R#L226)              | describe           | ds\_measures\_variation throws appropriate errors          | PASS    |  1 | 0.85 |
-| [test-describe.R](testthat/test-describe.R#L234)              | describe           | output from ds\_measures\_symmetry is as expected          | PASS    |  1 | 0.12 |
-| [test-describe.R](testthat/test-describe.R#L242)              | describe           | output from ds\_measures\_symmetry is as expected          | PASS    |  1 | 0.05 |
-| [test-describe.R](testthat/test-describe.R#L249)              | describe           | ds\_measures\_symmetry throws appropriate errors           | PASS    |  1 | 0.69 |
-| [test-describe.R](testthat/test-describe.R#L256)              | describe           | ds\_measures\_symmetry throws appropriate errors           | PASS    |  1 | 0.60 |
-| [test-describe.R](testthat/test-describe.R#L264)              | describe           | output from ds\_percentiles is as expected                 | PASS    |  1 | 0.10 |
-| [test-describe.R](testthat/test-describe.R#L272)              | describe           | output from ds\_percentiles is as expected                 | PASS    |  1 | 0.15 |
-| [test-describe.R](testthat/test-describe.R#L279)              | describe           | ds\_percentiles throws appropriate errors                  | PASS    |  1 | 0.96 |
-| [test-describe.R](testthat/test-describe.R#L286)              | describe           | ds\_percentiles throws appropriate errors                  | PASS    |  1 | 0.73 |
-| [test-describe.R](testthat/test-describe.R#L294)              | describe           | output from ds\_extreme\_obs is as expected                | PASS    |  1 | 0.02 |
-| [test-describe.R](testthat/test-describe.R#L301)              | describe           | ds\_extreme\_obs throws appropriate errors                 | PASS    |  1 | 0.55 |
-| [test-describe.R](testthat/test-describe.R#L307)              | describe           | ds\_extreme\_obs throws appropriate errors                 | PASS    |  1 | 0.53 |
-| [test-f-dist.R](testthat/test-f-dist.R#L5)                    | f-dist             | dist\_f\_plot throws the appropriate warning               | PASS    |  1 | 0.73 |
-| [test-f-dist.R](testthat/test-f-dist.R#L9)                    | f-dist             | dist\_f\_prob throws the appropriate warning               | PASS    |  1 | 0.92 |
-| [test-f-dist.R](testthat/test-f-dist.R#L13)                   | f-dist             | dist\_f\_perc throws the appropriate warning               | PASS    |  1 | 1.20 |
-| [test-freq-cont.R](testthat/test-freq-cont.R#L5)              | ds\_freq\_cont     | output from ds\_freq\_cont matches expected result         | PASS    |  8 | 0.06 |
-| [test-freq-cont.R](testthat/test-freq-cont.R#L19)             | ds\_freq\_cont     | ds\_freq\_cont returns appropriate errors                  | PASS    |  2 | 0.75 |
-| [test-freq-cont.R](testthat/test-freq-cont.R#L24)             | ds\_freq\_cont     | output from ds\_freq\_cont plot is as expected             | SKIPPED |  1 | 0.02 |
-| [test-freq-table.R](testthat/test-freq-table.R#L5)            | freq\_table        | output from ds\_freq\_table matches expected results       | PASS    |  6 | 0.08 |
-| [test-freq-table.R](testthat/test-freq-table.R#L14)           | freq\_table        | ds\_freq\_table returns appropriate errors                 | PASS    |  1 | 0.73 |
-| [test-freq-table.R](testthat/test-freq-table.R#L18)           | freq\_table        | output from ds\_freq\_table plot is as expected            | SKIPPED |  1 | 0.02 |
-| [test-group-summary.R](testthat/test-group-summary.R#L14)     | ds\_group\_summary | output from ds\_group\_summary matches the expected result | PASS    |  6 | 0.27 |
-| [test-group-summary.R](testthat/test-group-summary.R#L40_L43) | ds\_group\_summary | ds\_group\_summary throws the appropriate error            | PASS    |  2 | 1.54 |
-| [test-group-summary.R](testthat/test-group-summary.R#L52)     | ds\_group\_summary | output from ds\_group\_summary plot is as expected         | SKIPPED |  1 | 0.02 |
-| [test-multistats.R](testthat/test-multistats.R#L8)            | multistats         | output from multistats is as expected                      | PASS    |  1 | 0.32 |
-| [test-normal-dist.R](testthat/test-normal-dist.R#L4)          | normal-dist        | dist\_norm\_plot throws the appropriate warning            | PASS    |  1 | 2.04 |
-| [test-normal-dist.R](testthat/test-normal-dist.R#L8)          | normal-dist        | dist\_norm\_prob throws the appropriate warning            | PASS    |  1 | 4.53 |
-| [test-normal-dist.R](testthat/test-normal-dist.R#L12)         | normal-dist        | dist\_norm\_perc throws the appropriate warning            | PASS    |  1 | 2.28 |
-| [test-output.R](testthat/test-output.R#L41)                   | print              | output from print\_cross matches expected output           | PASS    |  1 | 0.56 |
-| [test-output.R](testthat/test-output.R#L70)                   | print              | output from print\_screener matches expected output        | PASS    |  1 | 0.19 |
-| [test-output.R](testthat/test-output.R#L91)                   | print              | output from print\_fcont matches the expected result       | PASS    |  1 | 0.39 |
-| [test-output.R](testthat/test-output.R#L109)                  | print              | output from freq\_table matches the expected result        | PASS    |  1 | 0.10 |
-| [test-output.R](testthat/test-output.R#L137)                  | print              | output from group\_summary matches the expected result     | PASS    |  1 | 0.48 |
-| [test-output.R](testthat/test-output.R#L210)                  | print              | output from print\_ftable2 matches the expected result     | WARNING |  2 | 0.59 |
-| [test-output.R](testthat/test-output.R#L300)                  | print              | output from print\_cross2 matches the expected result      | WARNING |  2 | 1.05 |
-| [test-plots.R](testthat/test-plots.R#L7)                      | test-plots         | ds\_plot\_scatter throws errors as expected                | PASS    |  3 | 2.55 |
-| [test-plots.R](testthat/test-plots.R#L13)                     | test-plots         | ds\_plot\_histogram throws errors as expected              | PASS    |  2 | 1.37 |
-| [test-plots.R](testthat/test-plots.R#L18)                     | test-plots         | ds\_plot\_density throws errors as expected                | PASS    |  2 | 1.32 |
-| [test-plots.R](testthat/test-plots.R#L23)                     | test-plots         | ds\_plot\_bar throws errors as expected                    | PASS    |  2 | 1.37 |
-| [test-plots.R](testthat/test-plots.R#L28)                     | test-plots         | ds\_plot\_box\_single throws errors as expected            | PASS    |  2 | 2.19 |
-| [test-plots.R](testthat/test-plots.R#L33)                     | test-plots         | ds\_plot\_bar\_stacked throws errors as expected           | PASS    |  3 | 2.66 |
-| [test-plots.R](testthat/test-plots.R#L39)                     | test-plots         | ds\_plot\_bar\_grouped throws errors as expected           | PASS    |  3 | 2.72 |
-| [test-plots.R](testthat/test-plots.R#L45)                     | test-plots         | ds\_plot\_box\_group throws errors as expected             | PASS    |  4 | 3.70 |
-| [test-screen.R](testthat/test-screen.R#L9)                    | ds\_screener       | output from ds\_screener matches the expected result       | PASS    | 13 | 0.32 |
-| [test-screen.R](testthat/test-screen.R#L48)                   | ds\_screener       | ds\_screener throws the appropriate error                  | PASS    |  1 | 0.82 |
-| [test-summary-stats.R](testthat/test-summary-stats.R#L7)      | test-summary-stats | output from ds\_summary\_stats is as expected              | PASS    |  1 | 0.07 |
-| [test-summary-stats.R](testthat/test-summary-stats.R#L52)     | test-summary-stats | output from ds\_summary\_stats is as expected              | PASS    |  1 | 0.60 |
-| [test-t-dist.R](testthat/test-t-dist.R#L4)                    | t-dist             | dist\_t\_plot throws the appropriate warning               | PASS    |  1 | 1.28 |
-| [test-t-dist.R](testthat/test-t-dist.R#L8)                    | t-dist             | dist\_t\_prob throws the appropriate warning               | PASS    |  1 | 2.03 |
-| [test-t-dist.R](testthat/test-t-dist.R#L12)                   | t-dist             | dist\_t\_perc throws the appropriate warning               | PASS    |  1 | 1.78 |
-| [test-utils.R](testthat/test-utils.R#L4)                      | utils              | output from formatc matches the expected result            | PASS    |  2 | 0.02 |
-| [test-utils.R](testthat/test-utils.R#L10)                     | utils              | output from formatl matches the expected result            | PASS    |  2 | 0.03 |
-| [test-utils.R](testthat/test-utils.R#L16)                     | utils              | output from formatr matches the expected result            | PASS    |  1 | 0.01 |
-| [test-utils.R](testthat/test-utils.R#L21)                     | utils              | output from formats matches the expected result            | PASS    |  1 | 0.00 |
-| [test-utils.R](testthat/test-utils.R#L26)                     | utils              | output from formatnc matches the expected result           | PASS    |  1 | 0.02 |
-| [test-utils.R](testthat/test-utils.R#L31)                     | utils              | output from format\_gap matches the expected result        | PASS    |  1 | 0.01 |
-| [test-utils.R](testthat/test-utils.R#L36)                     | utils              | output from formatol matches the expected result           | PASS    |  2 | 0.02 |
-| [test-utils.R](testthat/test-utils.R#L42)                     | utils              | output from l matches the expected result                  | PASS    |  3 | 0.03 |
-| [test-utils.R](testthat/test-utils.R#L49)                     | utils              | output from percent matches the expected result            | PASS    |  2 | 0.03 |
-| [test-utils.R](testthat/test-utils.R#L55)                     | utils              | output from formata matches the expected result            | PASS    |  1 | 0.02 |
-| [test-utils.R](testthat/test-utils.R#L60)                     | utils              | output from formatas matches the expected result           | PASS    |  1 | 0.00 |
+| [test-describe.R](testthat/test-describe.R#L174)              | describe           | output from ds\_measures\_location is as expected          | PASS    |  1 | 0.54 |
+| [test-describe.R](testthat/test-describe.R#L182)              | describe           | output from ds\_measures\_location is as expected          | PASS    |  1 | 0.27 |
+| [test-describe.R](testthat/test-describe.R#L189)              | describe           | ds\_measures\_location throws appropriate errors           | PASS    |  1 | 1.06 |
+| [test-describe.R](testthat/test-describe.R#L196)              | describe           | ds\_measures\_location throws appropriate errors           | PASS    |  1 | 1.28 |
+| [test-describe.R](testthat/test-describe.R#L204)              | describe           | output from ds\_measures\_variation is as expected         | PASS    |  1 | 0.11 |
+| [test-describe.R](testthat/test-describe.R#L212)              | describe           | output from ds\_measures\_variation is as expected         | PASS    |  1 | 0.06 |
+| [test-describe.R](testthat/test-describe.R#L219)              | describe           | ds\_measures\_variation throws appropriate errors          | PASS    |  1 | 0.97 |
+| [test-describe.R](testthat/test-describe.R#L226)              | describe           | ds\_measures\_variation throws appropriate errors          | PASS    |  1 | 0.82 |
+| [test-describe.R](testthat/test-describe.R#L234)              | describe           | output from ds\_measures\_symmetry is as expected          | PASS    |  1 | 0.04 |
+| [test-describe.R](testthat/test-describe.R#L242)              | describe           | output from ds\_measures\_symmetry is as expected          | PASS    |  1 | 0.03 |
+| [test-describe.R](testthat/test-describe.R#L249)              | describe           | ds\_measures\_symmetry throws appropriate errors           | PASS    |  1 | 0.80 |
+| [test-describe.R](testthat/test-describe.R#L256)              | describe           | ds\_measures\_symmetry throws appropriate errors           | PASS    |  1 | 0.72 |
+| [test-describe.R](testthat/test-describe.R#L264)              | describe           | output from ds\_percentiles is as expected                 | PASS    |  1 | 0.11 |
+| [test-describe.R](testthat/test-describe.R#L272)              | describe           | output from ds\_percentiles is as expected                 | PASS    |  1 | 0.08 |
+| [test-describe.R](testthat/test-describe.R#L279)              | describe           | ds\_percentiles throws appropriate errors                  | PASS    |  1 | 0.75 |
+| [test-describe.R](testthat/test-describe.R#L286)              | describe           | ds\_percentiles throws appropriate errors                  | PASS    |  1 | 0.82 |
+| [test-describe.R](testthat/test-describe.R#L294)              | describe           | output from ds\_extreme\_obs is as expected                | PASS    |  1 | 0.04 |
+| [test-describe.R](testthat/test-describe.R#L301)              | describe           | ds\_extreme\_obs throws appropriate errors                 | PASS    |  1 | 0.76 |
+| [test-describe.R](testthat/test-describe.R#L307)              | describe           | ds\_extreme\_obs throws appropriate errors                 | PASS    |  1 | 0.66 |
+| [test-f-dist.R](testthat/test-f-dist.R#L5)                    | f-dist             | dist\_f\_plot throws the appropriate warning               | PASS    |  1 | 1.85 |
+| [test-f-dist.R](testthat/test-f-dist.R#L9)                    | f-dist             | dist\_f\_prob throws the appropriate warning               | PASS    |  1 | 2.23 |
+| [test-f-dist.R](testthat/test-f-dist.R#L13)                   | f-dist             | dist\_f\_perc throws the appropriate warning               | PASS    |  1 | 1.67 |
+| [test-freq-table.R](testthat/test-freq-table.R#L5)            | freq\_table        | output from ds\_freq\_table matches expected results       | PASS    |  6 | 0.27 |
+| [test-freq-table.R](testthat/test-freq-table.R#L15)           | freq\_table        | output from ds\_freq\_table plot is as expected            | SKIPPED |  1 | 0.00 |
+| [test-freq-table.R](testthat/test-freq-table.R#L24)           | freq\_table        | output from ds\_freq\_cont matches expected result         | PASS    |  8 | 0.14 |
+| [test-freq-table.R](testthat/test-freq-table.R#L35)           | freq\_table        | output from ds\_freq\_table plot is as expected            | SKIPPED |  1 | 0.00 |
+| [test-group-summary.R](testthat/test-group-summary.R#L14)     | ds\_group\_summary | output from ds\_group\_summary matches the expected result | PASS    |  6 | 0.57 |
+| [test-group-summary.R](testthat/test-group-summary.R#L40_L43) | ds\_group\_summary | ds\_group\_summary throws the appropriate error            | PASS    |  2 | 2.10 |
+| [test-group-summary.R](testthat/test-group-summary.R#L52)     | ds\_group\_summary | output from ds\_group\_summary plot is as expected         | SKIPPED |  1 | 0.00 |
+| [test-multistats.R](testthat/test-multistats.R#L8)            | multistats         | output from multistats is as expected                      | PASS    |  1 | 0.33 |
+| [test-normal-dist.R](testthat/test-normal-dist.R#L4)          | normal-dist        | dist\_norm\_plot throws the appropriate warning            | PASS    |  1 | 2.25 |
+| [test-normal-dist.R](testthat/test-normal-dist.R#L8)          | normal-dist        | dist\_norm\_prob throws the appropriate warning            | PASS    |  1 | 2.31 |
+| [test-normal-dist.R](testthat/test-normal-dist.R#L12)         | normal-dist        | dist\_norm\_perc throws the appropriate warning            | PASS    |  1 | 2.52 |
+| [test-output.R](testthat/test-output.R#L41)                   | print              | output from print\_cross matches expected output           | PASS    |  1 | 0.21 |
+| [test-output.R](testthat/test-output.R#L70)                   | print              | output from print\_screener matches expected output        | PASS    |  1 | 0.15 |
+| [test-output.R](testthat/test-output.R#L91)                   | print              | output from print\_fcont matches the expected result       | PASS    |  1 | 0.33 |
+| [test-output.R](testthat/test-output.R#L109)                  | print              | output from freq\_table matches the expected result        | PASS    |  1 | 0.19 |
+| [test-output.R](testthat/test-output.R#L137)                  | print              | output from group\_summary matches the expected result     | PASS    |  1 | 0.95 |
+| [test-output.R](testthat/test-output.R#L210)                  | print              | output from print\_ftable2 matches the expected result     | PASS    |  1 | 0.74 |
+| [test-output.R](testthat/test-output.R#L300)                  | print              | output from print\_cross2 matches the expected result      | PASS    |  1 | 0.67 |
+| [test-plots.R](testthat/test-plots.R#L7)                      | test-plots         | ds\_plot\_scatter throws errors as expected                | PASS    |  3 | 3.18 |
+| [test-plots.R](testthat/test-plots.R#L13)                     | test-plots         | ds\_plot\_histogram throws errors as expected              | PASS    |  2 | 2.04 |
+| [test-plots.R](testthat/test-plots.R#L18)                     | test-plots         | ds\_plot\_density throws errors as expected                | PASS    |  2 | 1.83 |
+| [test-plots.R](testthat/test-plots.R#L23)                     | test-plots         | ds\_plot\_bar throws errors as expected                    | PASS    |  2 | 2.20 |
+| [test-plots.R](testthat/test-plots.R#L28)                     | test-plots         | ds\_plot\_box\_single throws errors as expected            | PASS    |  2 | 2.83 |
+| [test-plots.R](testthat/test-plots.R#L33)                     | test-plots         | ds\_plot\_bar\_stacked throws errors as expected           | PASS    |  3 | 6.53 |
+| [test-plots.R](testthat/test-plots.R#L39)                     | test-plots         | ds\_plot\_bar\_grouped throws errors as expected           | PASS    |  3 | 6.70 |
+| [test-plots.R](testthat/test-plots.R#L45)                     | test-plots         | ds\_plot\_box\_group throws errors as expected             | PASS    |  4 | 6.41 |
+| [test-screen.R](testthat/test-screen.R#L9)                    | ds\_screener       | output from ds\_screener matches the expected result       | PASS    | 13 | 0.27 |
+| [test-screen.R](testthat/test-screen.R#L48)                   | ds\_screener       | ds\_screener throws the appropriate error                  | PASS    |  1 | 0.78 |
+| [test-summary-stats.R](testthat/test-summary-stats.R#L7)      | test-summary-stats | output from ds\_summary is as expected                     | PASS    |  1 | 0.05 |
+| [test-summary-stats.R](testthat/test-summary-stats.R#L13)     | test-summary-stats | ds\_summary\_stats throws appropriate errors               | PASS    |  2 | 1.49 |
+| [test-t-dist.R](testthat/test-t-dist.R#L4)                    | t-dist             | dist\_t\_plot throws the appropriate warning               | PASS    |  1 | 0.95 |
+| [test-t-dist.R](testthat/test-t-dist.R#L8)                    | t-dist             | dist\_t\_prob throws the appropriate warning               | PASS    |  1 | 1.74 |
+| [test-t-dist.R](testthat/test-t-dist.R#L12)                   | t-dist             | dist\_t\_perc throws the appropriate warning               | PASS    |  1 | 1.57 |
+| [test-utils.R](testthat/test-utils.R#L4)                      | utils              | output from formatc matches the expected result            | PASS    |  2 | 0.05 |
+| [test-utils.R](testthat/test-utils.R#L10)                     | utils              | output from formatl matches the expected result            | PASS    |  2 | 0.06 |
+| [test-utils.R](testthat/test-utils.R#L16)                     | utils              | output from formatr matches the expected result            | PASS    |  1 | 0.02 |
+| [test-utils.R](testthat/test-utils.R#L21)                     | utils              | output from formats matches the expected result            | PASS    |  1 | 0.01 |
+| [test-utils.R](testthat/test-utils.R#L26)                     | utils              | output from formatnc matches the expected result           | PASS    |  1 | 0.00 |
+| [test-utils.R](testthat/test-utils.R#L31)                     | utils              | output from format\_gap matches the expected result        | PASS    |  1 | 0.00 |
+| [test-utils.R](testthat/test-utils.R#L36)                     | utils              | output from formatol matches the expected result           | PASS    |  2 | 0.00 |
+| [test-utils.R](testthat/test-utils.R#L42)                     | utils              | output from l matches the expected result                  | PASS    |  3 | 0.04 |
+| [test-utils.R](testthat/test-utils.R#L49)                     | utils              | output from percent matches the expected result            | PASS    |  2 | 0.00 |
+| [test-utils.R](testthat/test-utils.R#L55)                     | utils              | output from formata matches the expected result            | PASS    |  1 | 0.04 |
+| [test-utils.R](testthat/test-utils.R#L60)                     | utils              | output from formatas matches the expected result           | PASS    |  1 | 0.01 |
 | [test-utils.R](testthat/test-utils.R#L65)                     | utils              | output from formatter\_freq matches the expected result    | PASS    |  1 | 0.00 |
 | [test-utils.R](testthat/test-utils.R#L72)                     | utils              | output from row\_pct matches the expected result           | PASS    |  1 | 0.02 |
-| [test-utils.R](testthat/test-utils.R#L79)                     | utils              | output from col\_pct matches the expected result           | PASS    |  1 | 0.01 |
-| [test-utils.R](testthat/test-utils.R#L84)                     | utils              | output from formatter matches the expected result          | PASS    |  1 | 0.02 |
-| [test-utils.R](testthat/test-utils.R#L89)                     | utils              | output from fround matches the expected result             | PASS    |  1 | 0.05 |
-| [test-utils.R](testthat/test-utils.R#L94)                     | utils              | output form xmm matches the expected result                | PASS    |  1 | 0.01 |
-| [test-utils.R](testthat/test-utils.R#L98)                     | utils              | output from seql matches the expected result               | PASS    |  1 | 0.08 |
-| [test-utils.R](testthat/test-utils.R#L102)                    | utils              | output form xmmp matches the expected result               | PASS    |  2 | 0.05 |
-| [test-utils.R](testthat/test-utils.R#L107)                    | utils              | output from seqlp matches the expected result              | PASS    |  2 | 0.04 |
-| [test-utils.R](testthat/test-utils.R#L113)                    | utils              | output form xmn matches the expected result                | PASS    |  1 | 0.04 |
-| [test-utils.R](testthat/test-utils.R#L117)                    | utils              | output from seqln matches the expected result              | PASS    |  1 | 0.03 |
-| [test-utils.R](testthat/test-utils.R#L123)                    | utils              | output from intervals matches expected result              | PASS    |  1 | 0.01 |
-| [test-utils.R](testthat/test-utils.R#L128_L131)               | utils              | output from freq matches the expected result               | PASS    |  1 | 0.02 |
-| [test-utils.R](testthat/test-utils.R#L135)                    | utils              | output from stat\_uss matches the expected result          | PASS    |  1 | 0.03 |
-| [test-utils.R](testthat/test-utils.R#L140)                    | utils              | output from div\_by matches the expected result            | PASS    |  1 | 0.02 |
+| [test-utils.R](testthat/test-utils.R#L79)                     | utils              | output from col\_pct matches the expected result           | PASS    |  1 | 0.00 |
+| [test-utils.R](testthat/test-utils.R#L84)                     | utils              | output from formatter matches the expected result          | PASS    |  1 | 0.01 |
+| [test-utils.R](testthat/test-utils.R#L89)                     | utils              | output from fround matches the expected result             | PASS    |  1 | 0.02 |
+| [test-utils.R](testthat/test-utils.R#L94)                     | utils              | output form xmm matches the expected result                | PASS    |  1 | 0.00 |
+| [test-utils.R](testthat/test-utils.R#L98)                     | utils              | output from seql matches the expected result               | PASS    |  1 | 0.01 |
+| [test-utils.R](testthat/test-utils.R#L102)                    | utils              | output form xmmp matches the expected result               | PASS    |  2 | 0.02 |
+| [test-utils.R](testthat/test-utils.R#L107)                    | utils              | output from seqlp matches the expected result              | PASS    |  2 | 0.02 |
+| [test-utils.R](testthat/test-utils.R#L113)                    | utils              | output form xmn matches the expected result                | PASS    |  1 | 0.00 |
+| [test-utils.R](testthat/test-utils.R#L117)                    | utils              | output from seqln matches the expected result              | PASS    |  1 | 0.01 |
+| [test-utils.R](testthat/test-utils.R#L123)                    | utils              | output from intervals matches expected result              | PASS    |  1 | 0.02 |
+| [test-utils.R](testthat/test-utils.R#L128_L131)               | utils              | output from freq matches the expected result               | PASS    |  1 | 0.00 |
+| [test-utils.R](testthat/test-utils.R#L135)                    | utils              | output from stat\_uss matches the expected result          | PASS    |  1 | 0.01 |
+| [test-utils.R](testthat/test-utils.R#L140)                    | utils              | output from div\_by matches the expected result            | PASS    |  1 | 0.05 |
+| [test-utils.R](testthat/test-utils.R#L144)                    | utils              | output from uss is as expected                             | PASS    |  1 | 0.00 |
 
 
    
 
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diff --git a/tests/testthat/test-mult-table.R b/tests/testthat/test-mult-table.R
deleted file mode 100644
index 8b13789..0000000
--- a/tests/testthat/test-mult-table.R
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/vignettes/categorical-data.Rmd b/vignettes/categorical-data.Rmd
index 7b37ab6..f638013 100644
--- a/vignettes/categorical-data.Rmd
+++ b/vignettes/categorical-data.Rmd
@@ -1,6 +1,6 @@
-use---
+---
 title: "Categorical Data"
-author: "Vignette Author"
+author: "Aravind Hebbali"
 date: "`r Sys.Date()`"
 output: rmarkdown::html_vignette
 vignette: >
diff --git a/vignettes/tests_and_coverage.Rmd b/vignettes/tests_and_coverage.Rmd
index 15cdb26..686defa 100644
--- a/vignettes/tests_and_coverage.Rmd
+++ b/vignettes/tests_and_coverage.Rmd
@@ -17,176 +17,217 @@ knitr::opts_chunk$set(
 ```
 
 
--   [Coverage](#coverage)
--   [Unit Tests](#unit-tests)
+This output is created by
+[covrpage](https://github.com/yonicd/covrpage).
 
-This output is created by [covrpage](https://github.com/yonicd/covrpage).
+## Coverage
 
-Coverage
---------
-
-Coverage summary is created using the [covr](https://github.com/r-lib/covr) package.
+Coverage summary is created using the
+[covr](https://github.com/r-lib/covr) package.
 
 | Object                                                | Coverage (%) |
-|:------------------------------------------------------|:------------:|
-| descriptr                                             |     72.72    |
+| :---------------------------------------------------- | :----------: |
+| descriptr                                             |    78.19     |
 | [R/ds-launch-shiny-app.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-launch-shiny-app.R) |     0.00     |
-| [R/ds-summary-stats.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-summary-stats.R)       |     0.00     |
-| [R/ds-cross-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-cross-table.R)           |     37.31    |
-| [R/ds-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-describe.R)                 |     56.36    |
-| [R/ds-freq-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-freq-table.R)             |     64.10    |
-| [R/ds-freq-cont.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-freq-cont.R)               |     66.67    |
-| [R/dist-binomial.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/dist-binomial.R)             |     70.69    |
-| [R/ds-group-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-group-summary.R)       |     71.08    |
-| [R/ds-screener.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-screener.R)                 |     71.23    |
-| [R/dist-f.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/dist-f.R)                           |     73.33    |
-| [R/dist-chisquare.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/dist-chisquare.R)           |     73.68    |
-| [R/dist-normal.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/dist-normal.R)                 |     77.51    |
-| [R/ds-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-output.R)                     |     78.28    |
-| [R/ds-mult-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-mult-table.R)             |     79.49    |
-| [R/ds-multistats.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-multistats.R)             |     84.62    |
-| [R/ds-freq-mult.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-freq-mult.R)               |     86.79    |
-| [R/dist-t.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/dist-t.R)                           |     87.55    |
-| [R/ds-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-utils.R)                       |     96.84    |
+| [R/zzz.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/zzz.R)                                 |     5.56     |
+| [R/ds-plots.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-plots.R)                       |    41.84     |
+| [R/ds-freq-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-freq-table.R)             |    56.25     |
+| [R/ds-freq-factor.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-freq-factor.R)           |    65.33     |
+| [R/ds-freq-numeric.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-freq-numeric.R)         |    66.67     |
+| [R/ds-cross-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-cross-table.R)           |    67.13     |
+| [R/ds-multistats.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-multistats.R)             |    71.43     |
+| [R/ds-screener.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-screener.R)                 |    71.64     |
+| [R/ds-group-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-group-summary.R)       |    74.07     |
+| [R/ds-freq-mult.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-freq-mult.R)               |    86.79     |
+| [R/ds-mult-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-mult-table.R)             |    87.93     |
+| [R/ds-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-utils.R)                       |    91.77     |
+| [R/ds-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-output.R)                     |    92.49     |
+| [R/ds-auto-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-auto-summary.R)         |    93.65     |
+| [R/ds-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-describe.R)                 |    97.86     |
+| [R/ds-summary-stats.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-summary-stats.R)       |    98.48     |
+| [R/dist-binomial.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/dist-binomial.R)             |    100.00    |
+| [R/dist-chisquare.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/dist-chisquare.R)           |    100.00    |
+| [R/dist-f.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/dist-f.R)                           |    100.00    |
+| [R/dist-normal.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/dist-normal.R)                 |    100.00    |
+| [R/dist-t.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/dist-t.R)                           |    100.00    |
 | [R/ds-cross-mult.R](https://github.com/rsquaredacademy/descriptr/tree/develop/R/ds-cross-mult.R)             |    100.00    |
 
 
    
 
-Unit Tests
-----------
-
-Unit Test summary is created using the [testthat](https://github.com/r-lib/testthat) package.
-
-|                      | file                                                  |    n|  time|  error|  failed|  skipped|  warning|
-|----------------------|:------------------------------------------------------|----:|-----:|------:|-------:|--------:|--------:|
-| test-binom-dist.R    | [test-binom-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-binom-dist.R)       |   49|  3.29|      0|       0|        0|        0|
-| test-chi-dist.R      | [test-chi-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-chi-dist.R)           |   20|  1.37|      0|       0|        0|        0|
-| test-cross-table.R   | [test-cross-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-cross-table.R)     |   22|  0.62|      0|       0|        1|        0|
-| test-describe.R      | [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R)           |   78|  1.48|      0|       0|        0|        0|
-| test-f-dist.R        | [test-f-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-f-dist.R)               |   18|  0.55|      0|       0|        0|        0|
-| test-freq-cont.R     | [test-freq-cont.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-cont.R)         |   11|  0.11|      0|       0|        1|        0|
-| test-freq-table.R    | [test-freq-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-table.R)       |    8|  0.09|      0|       0|        1|        0|
-| test-group-summary.R | [test-group-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-group-summary.R) |    9|  0.58|      0|       0|        1|        0|
-| test-multistats.R    | [test-multistats.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-multistats.R)       |    1|  0.28|      0|       0|        0|        0|
-| test-normal-dist.R   | [test-normal-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-normal-dist.R)     |   30|  1.92|      0|       0|        0|        0|
-| test-output.R        | [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R)               |    7|  1.85|      0|       0|        0|        0|
-| test-screen.R        | [test-screen.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-screen.R)               |   14|  0.14|      0|       0|        0|        0|
-| test-t-dist.R        | [test-t-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-t-dist.R)               |   24|  1.88|      0|       0|        0|        0|
-| test-utils.R         | [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R)                 |   34|  0.35|      0|       0|        0|        0|
-
-
      Show Detailed Test Results 
-
-| file                                                          | context            | test                                                       | status  |    n|  time|
-|:--------------------------------------------------------------|:-------------------|:-----------------------------------------------------------|:--------|----:|-----:|
-| [test-binom-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-binom-dist.R#L5)            | binom\_dist        | output from dist\_binom\_plot matches expected result      | PASS    |    8|  0.95|
-| [test-binom-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-binom-dist.R#L23)           | binom\_dist        | dist\_binom\_plot throws the appropriate errors            | PASS    |    6|  0.05|
-| [test-binom-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-binom-dist.R#L34)           | binom\_dist        | output from dist\_binom\_prob matches expected result      | PASS    |   18|  2.14|
-| [test-binom-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-binom-dist.R#L84)           | binom\_dist        | dist\_binom\_prob throws the appropriate errors            | PASS    |    7|  0.06|
-| [test-binom-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-binom-dist.R#L94)           | binom\_dist        | dist\_dist\_binom\_perc throws the appropriate errors      | PASS    |   10|  0.09|
-| [test-chi-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-chi-dist.R#L4)                | chi-dist           | dist\_chi\_plot returns appropriate error messages         | PASS    |    4|  0.03|
-| [test-chi-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-chi-dist.R#L18)               | chi-dist           | output from dist\_chi\_perc matches expected results       | PASS    |    4|  0.64|
-| [test-chi-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-chi-dist.R#L33)               | chi-dist           | dist\_chi\_perc returns appropriate error messages         | PASS    |    4|  0.03|
-| [test-chi-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-chi-dist.R#L47)               | chi-dist           | output from dist\_chi\_prob matches expected result        | PASS    |    4|  0.63|
-| [test-chi-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-chi-dist.R#L61)               | chi-dist           | dist\_chi\_prob returns appropriate error messages         | PASS    |    4|  0.04|
-| [test-cross-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-cross-table.R#L6)          | ds\_cross\_table   | output from ds\_cross\_table matches expected results      | PASS    |   21|  0.61|
-| [test-cross-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-cross-table.R#L51)         | ds\_cross\_table   | ouput from plot.ds\_cross\_table matches expected output   | SKIPPED |    1|  0.01|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L4)                | describe           | output from ds\_tailobs match expected result              | PASS    |    2|  0.06|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L10)               | describe           | ds\_tailobs returns the appropriate error                  | PASS    |    5|  0.05|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L19)               | describe           | output from ds\_rindex match expected result               | PASS    |    4|  0.04|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L27)               | describe           | ds\_rindex returns the appropriate error                   | PASS    |    3|  0.03|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L34)               | describe           | output from ds\_skewness matches expected result           | PASS    |    6|  0.07|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L44)               | describe           | ds\_skewness returns the appropriate error                 | PASS    |    2|  0.02|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L50)               | describe           | output from ds\_kurtosis matches expected result           | PASS    |    6|  0.06|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L60)               | describe           | ds\_kurtosis returns the appropriate error                 | PASS    |    2|  0.02|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L66)               | describe           | ds\_css matches `Sum Sq` from anova                        | PASS    |    6|  0.23|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L76)               | describe           | ds\_css returns the appropriate error                      | PASS    |    2|  0.01|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L82)               | describe           | output from ds\_cvar matches the expected result           | PASS    |    2|  0.02|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L88)               | describe           | ds\_cvar returns the appropriate error                     | PASS    |    2|  0.05|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L94)               | describe           | output from ds\_mode matches the expected result           | PASS    |    6|  0.50|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L104)              | describe           | ds\_mode returns the appropriate error                     | PASS    |    2|  0.01|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L110)              | describe           | output from ds\_range matches the expected result          | PASS    |    6|  0.11|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L120)              | describe           | ds\_range returns the appropriate error                    | PASS    |    2|  0.02|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L126)              | describe           | output from ds\_mdev matches the expected result           | PASS    |    6|  0.04|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L136)              | describe           | output from ds\_mdev matches the expected result           | PASS    |    2|  0.02|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L141)              | describe           | ds\_mdev returns the appropriate error                     | PASS    |    2|  0.02|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L147)              | describe           | output from ds\_hmean matches the expected output          | PASS    |    3|  0.01|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L153)              | describe           | ds\_hmean throws the appropriate error                     | PASS    |    2|  0.02|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L159)              | describe           | output from ds\_gmean matches the expected output          | PASS    |    3|  0.06|
-| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L166)              | describe           | ds\_gmean throws the appropriate error                     | PASS    |    2|  0.01|
-| [test-f-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-f-dist.R#L5)                    | f-dist             | dist\_f\_plot returns appropriate error messages           | PASS    |    6|  0.05|
-| [test-f-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-f-dist.R#L24)                   | f-dist             | output from dist\_f\_perc matches the expected result      | PASS    |    2|  0.22|
-| [test-f-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-f-dist.R#L32)                   | f-dist             | dist\_f\_perc returns appropriate error messages           | PASS    |    8|  0.08|
-| [test-f-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-f-dist.R#L60)                   | f-dist             | output from dist\_f\_prob matches expected result          | PASS    |    2|  0.20|
-| [test-freq-cont.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-cont.R#L5)              | ds\_freq\_cont     | output from ds\_freq\_cont matches expected result         | PASS    |    8|  0.10|
-| [test-freq-cont.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-cont.R#L19)             | ds\_freq\_cont     | ds\_freq\_cont returns appropriate errors                  | PASS    |    2|  0.01|
-| [test-freq-cont.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-cont.R#L24)             | ds\_freq\_cont     | output from ds\_freq\_cont plot is as expected             | SKIPPED |    1|  0.00|
-| [test-freq-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-table.R#L5)            | freq\_table        | output from ds\_freq\_table matches expected results       | PASS    |    6|  0.09|
-| [test-freq-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-table.R#L14)           | freq\_table        | ds\_freq\_table returns appropriate errors                 | PASS    |    1|  0.00|
-| [test-freq-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-table.R#L18)           | freq\_table        | output from ds\_freq\_table plot is as expected            | SKIPPED |    1|  0.00|
-| [test-group-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-group-summary.R#L14)     | ds\_group\_summary | output from ds\_group\_summary matches the expected result | PASS    |    6|  0.56|
-| [test-group-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-group-summary.R#L40_L43) | ds\_group\_summary | ds\_group\_summary throws the appropriate error            | PASS    |    2|  0.02|
-| [test-group-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-group-summary.R#L52)     | ds\_group\_summary | output from ds\_group\_summary plot is as expected         | SKIPPED |    1|  0.00|
-| [test-multistats.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-multistats.R#L8)            | multistats         | output from multistats is as expected                      | PASS    |    1|  0.28|
-| [test-normal-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-normal-dist.R#L5)          | normal-dist        | output from dist\_norm\_perc matches expected output       | PASS    |    6|  0.83|
-| [test-normal-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-normal-dist.R#L25)         | normal-dist        | dist\_norm\_perc throws the appropriate errors             | PASS    |    9|  0.08|
-| [test-normal-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-normal-dist.R#L39)         | normal-dist        | output from dist\_norm\_prob matches expected output       | PASS    |    6|  0.90|
-| [test-normal-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-normal-dist.R#L59)         | normal-dist        | dist\_norm\_prob throws the appropriate errors             | PASS    |    9|  0.11|
-| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L41)                   | print              | output from print\_cross matches expected output           | PASS    |    1|  0.21|
-| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L70)                   | print              | output from print\_screener matches expected output        | PASS    |    1|  0.11|
-| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L91)                   | print              | output from print\_fcont matches the expected result       | PASS    |    1|  0.17|
-| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L109)                  | print              | output from freq\_table matches the expected result        | PASS    |    1|  0.12|
-| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L137)                  | print              | output from group\_summary matches the expected result     | PASS    |    1|  0.51|
-| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L210)                  | print              | output from print\_ftable2 matches the expected result     | PASS    |    1|  0.41|
-| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L300)                  | print              | output from print\_cross2 matches the expected result      | PASS    |    1|  0.32|
-| [test-screen.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-screen.R#L9)                    | ds\_screener       | output from ds\_screener matches the expected result       | PASS    |   13|  0.12|
-| [test-screen.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-screen.R#L48)                   | ds\_screener       | ds\_screener throws the appropriate error                  | PASS    |    1|  0.02|
-| [test-t-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-t-dist.R#L5)                    | t-dist             | output from dist\_t\_perc matches expected results         | PASS    |    6|  0.77|
-| [test-t-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-t-dist.R#L25)                   | t-dist             | dist\_t\_perc returns appropriate error messages           | PASS    |    6|  0.06|
-| [test-t-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-t-dist.R#L46)                   | t-dist             | output from dist\_t\_prob matches expected result          | PASS    |    8|  1.02|
-| [test-t-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-t-dist.R#L75)                   | t-dist             | dist\_t\_prob returns appropriate error messages           | PASS    |    4|  0.03|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L4)                      | utils              | output from formatc matches the expected result            | PASS    |    2|  0.01|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L10)                     | utils              | output from formatl matches the expected result            | PASS    |    2|  0.02|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L16)                     | utils              | output from formatr matches the expected result            | PASS    |    1|  0.02|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L21)                     | utils              | output from formats matches the expected result            | PASS    |    1|  0.00|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L26)                     | utils              | output from formatnc matches the expected result           | PASS    |    1|  0.01|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L31)                     | utils              | output from format\_gap matches the expected result        | PASS    |    1|  0.00|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L36)                     | utils              | output from formatol matches the expected result           | PASS    |    2|  0.02|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L42)                     | utils              | output from l matches the expected result                  | PASS    |    3|  0.04|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L49)                     | utils              | output from percent matches the expected result            | PASS    |    2|  0.02|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L55)                     | utils              | output from formata matches the expected result            | PASS    |    1|  0.01|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L60)                     | utils              | output from formatas matches the expected result           | PASS    |    1|  0.00|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L65)                     | utils              | output from formatter\_freq matches the expected result    | PASS    |    1|  0.04|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L72)                     | utils              | output from row\_pct matches the expected result           | PASS    |    1|  0.01|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L79)                     | utils              | output from col\_pct matches the expected result           | PASS    |    1|  0.00|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L84)                     | utils              | output from formatter matches the expected result          | PASS    |    1|  0.02|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L89)                     | utils              | output from fround matches the expected result             | PASS    |    1|  0.00|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L94)                     | utils              | output form xmm matches the expected result                | PASS    |    1|  0.01|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L98)                     | utils              | output from seql matches the expected result               | PASS    |    1|  0.02|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L102)                    | utils              | output form xmmp matches the expected result               | PASS    |    2|  0.02|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L107)                    | utils              | output from seqlp matches the expected result              | PASS    |    2|  0.02|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L113)                    | utils              | output form xmn matches the expected result                | PASS    |    1|  0.00|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L117)                    | utils              | output from seqln matches the expected result              | PASS    |    1|  0.00|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L123)                    | utils              | output from intervals matches expected result              | PASS    |    1|  0.01|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L128_L131)               | utils              | output from freq matches the expected result               | PASS    |    1|  0.02|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L135)                    | utils              | output from stat\_uss matches the expected result          | PASS    |    1|  0.03|
-| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L140)                    | utils              | output from div\_by matches the expected result            | PASS    |    1|  0.00|
+## Unit Tests
+
+Unit Test summary is created using the
+[testthat](https://github.com/r-lib/testthat)
+package.
+
+|                      | file                                                  |  n |  time | error | failed | skipped | warning |
+| -------------------- | :---------------------------------------------------- | -: | ----: | ----: | -----: | ------: | ------: |
+| test-auto-summary.R  | [test-auto-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-auto-summary.R)   | 14 | 13.33 |     0 |      0 |       0 |       0 |
+| test-binom-dist.R    | [test-binom-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-binom-dist.R)       |  3 | 11.81 |     0 |      0 |       0 |       0 |
+| test-chi-dist.R      | [test-chi-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-chi-dist.R)           |  3 |  8.64 |     0 |      0 |       0 |       0 |
+| test-cross-table.R   | [test-cross-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-cross-table.R)     | 29 | 10.16 |     0 |      0 |       1 |       0 |
+| test-describe.R      | [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R)           | 97 | 12.70 |     0 |      0 |       0 |       0 |
+| test-f-dist.R        | [test-f-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-f-dist.R)               |  3 |  5.75 |     0 |      0 |       0 |       0 |
+| test-freq-table.R    | [test-freq-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-table.R)       | 16 |  0.41 |     0 |      0 |       2 |       0 |
+| test-group-summary.R | [test-group-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-group-summary.R) |  9 |  2.67 |     0 |      0 |       1 |       0 |
+| test-multistats.R    | [test-multistats.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-multistats.R)       |  1 |  0.33 |     0 |      0 |       0 |       0 |
+| test-normal-dist.R   | [test-normal-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-normal-dist.R)     |  3 |  7.08 |     0 |      0 |       0 |       0 |
+| test-output.R        | [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R)               |  7 |  3.24 |     0 |      0 |       0 |       0 |
+| test-plots.R         | [test-plots.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-plots.R)                 | 21 | 31.72 |     0 |      0 |       0 |       0 |
+| test-screen.R        | [test-screen.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-screen.R)               | 14 |  1.05 |     0 |      0 |       0 |       0 |
+| test-summary-stats.R | [test-summary-stats.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-summary-stats.R) |  3 |  1.54 |     0 |      0 |       0 |       0 |
+| test-t-dist.R        | [test-t-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-t-dist.R)               |  3 |  4.26 |     0 |      0 |       0 |       0 |
+| test-utils.R         | [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R)                 | 35 |  0.42 |     0 |      0 |       0 |       0 |
+
+
    
+
+ Show Detailed Test Results
+
+
+| file                                                          | context            | test                                                       | status  |  n | time |
+| :------------------------------------------------------------ | :----------------- | :--------------------------------------------------------- | :------ | -: | ---: |
+| [test-auto-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-auto-summary.R#L7)        | test-auto-summary  | ds\_auto\_summary throws errors as expected                | PASS    |  2 | 2.18 |
+| [test-auto-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-auto-summary.R#L12)       | test-auto-summary  | ds\_auto\_group\_summary throws errors as expected         | PASS    |  4 | 3.72 |
+| [test-auto-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-auto-summary.R#L19)       | test-auto-summary  | ds\_auto\_freq\_table throws errors as expected            | PASS    |  2 | 1.85 |
+| [test-auto-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-auto-summary.R#L24)       | test-auto-summary  | ds\_auto\_cross\_table throws errors as expected           | PASS    |  3 | 2.80 |
+| [test-auto-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-auto-summary.R#L94)       | test-auto-summary  | output from ds\_auto\_summary is as expected               | PASS    |  1 | 1.42 |
+| [test-auto-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-auto-summary.R#L124)      | test-auto-summary  | output from ds\_auto\_group\_summary is as expected        | PASS    |  1 | 1.00 |
+| [test-auto-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-auto-summary.R#L168)      | test-auto-summary  | output from ds\_auto\_cross\_table is as expected          | PASS    |  1 | 0.36 |
+| [test-binom-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-binom-dist.R#L4)            | binom\_dist        | dist\_binom\_plot throws the appropriate warning           | PASS    |  1 | 6.67 |
+| [test-binom-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-binom-dist.R#L8)            | binom\_dist        | dist\_binom\_prob throws the appropriate warning           | PASS    |  1 | 3.06 |
+| [test-binom-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-binom-dist.R#L12)           | binom\_dist        | dist\_binom\_perc throws the appropriate warning           | PASS    |  1 | 2.08 |
+| [test-chi-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-chi-dist.R#L4)                | chi-dist           | dist\_chi\_plot throws the appropriate warning             | PASS    |  1 | 0.21 |
+| [test-chi-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-chi-dist.R#L8)                | chi-dist           | dist\_chi\_prob throws the appropriate warning             | PASS    |  1 | 5.19 |
+| [test-chi-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-chi-dist.R#L12)               | chi-dist           | dist\_chi\_perc throws the appropriate warning             | PASS    |  1 | 3.24 |
+| [test-cross-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-cross-table.R#L6)          | ds\_cross\_table   | output from ds\_cross\_table matches expected results      | PASS    | 21 | 0.79 |
+| [test-cross-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-cross-table.R#L51)         | ds\_cross\_table   | ouput from plot.ds\_cross\_table matches expected output   | SKIPPED |  1 | 0.01 |
+| [test-cross-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-cross-table.R#L72)         | ds\_cross\_table   | ds\_cross\_table throws appropriate error                  | PASS    |  3 | 3.29 |
+| [test-cross-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-cross-table.R#L81)         | ds\_cross\_table   | output from ds\_twoway\_table is as expected               | PASS    |  1 | 0.19 |
+| [test-cross-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-cross-table.R#L87)         | ds\_cross\_table   | ds\_twoway\_table throws appropriate error                 | PASS    |  3 | 5.88 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L4)                | describe           | output from ds\_tailobs match expected result              | PASS    |  2 | 0.16 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L10)               | describe           | ds\_tailobs returns the appropriate error                  | PASS    |  5 | 0.09 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L19)               | describe           | output from ds\_rindex match expected result               | PASS    |  4 | 0.14 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L27)               | describe           | ds\_rindex returns the appropriate error                   | PASS    |  3 | 0.09 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L34)               | describe           | output from ds\_skewness matches expected result           | PASS    |  6 | 0.11 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L44)               | describe           | ds\_skewness returns the appropriate error                 | PASS    |  2 | 0.05 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L50)               | describe           | output from ds\_kurtosis matches expected result           | PASS    |  6 | 0.27 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L60)               | describe           | ds\_kurtosis returns the appropriate error                 | PASS    |  2 | 0.04 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L66)               | describe           | ds\_css matches `Sum Sq` from anova                        | PASS    |  6 | 0.63 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L76)               | describe           | ds\_css returns the appropriate error                      | PASS    |  2 | 0.04 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L82)               | describe           | output from ds\_cvar matches the expected result           | PASS    |  2 | 0.08 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L88)               | describe           | ds\_cvar returns the appropriate error                     | PASS    |  2 | 0.10 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L94)               | describe           | output from ds\_mode matches the expected result           | PASS    |  6 | 0.54 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L104)              | describe           | ds\_mode returns the appropriate error                     | PASS    |  2 | 0.02 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L110)              | describe           | output from ds\_range matches the expected result          | PASS    |  6 | 0.11 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L120)              | describe           | ds\_range returns the appropriate error                    | PASS    |  2 | 0.01 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L126)              | describe           | output from ds\_mdev matches the expected result           | PASS    |  6 | 0.13 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L136)              | describe           | output from ds\_mdev matches the expected result           | PASS    |  2 | 0.01 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L141)              | describe           | ds\_mdev returns the appropriate error                     | PASS    |  2 | 0.02 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L147)              | describe           | output from ds\_hmean matches the expected output          | PASS    |  3 | 0.06 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L153)              | describe           | ds\_hmean throws the appropriate error                     | PASS    |  2 | 0.01 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L159)              | describe           | output from ds\_gmean matches the expected output          | PASS    |  3 | 0.05 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L166)              | describe           | ds\_gmean throws the appropriate error                     | PASS    |  2 | 0.02 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L174)              | describe           | output from ds\_measures\_location is as expected          | PASS    |  1 | 0.54 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L182)              | describe           | output from ds\_measures\_location is as expected          | PASS    |  1 | 0.27 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L189)              | describe           | ds\_measures\_location throws appropriate errors           | PASS    |  1 | 1.06 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L196)              | describe           | ds\_measures\_location throws appropriate errors           | PASS    |  1 | 1.28 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L204)              | describe           | output from ds\_measures\_variation is as expected         | PASS    |  1 | 0.11 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L212)              | describe           | output from ds\_measures\_variation is as expected         | PASS    |  1 | 0.06 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L219)              | describe           | ds\_measures\_variation throws appropriate errors          | PASS    |  1 | 0.97 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L226)              | describe           | ds\_measures\_variation throws appropriate errors          | PASS    |  1 | 0.82 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L234)              | describe           | output from ds\_measures\_symmetry is as expected          | PASS    |  1 | 0.04 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L242)              | describe           | output from ds\_measures\_symmetry is as expected          | PASS    |  1 | 0.03 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L249)              | describe           | ds\_measures\_symmetry throws appropriate errors           | PASS    |  1 | 0.80 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L256)              | describe           | ds\_measures\_symmetry throws appropriate errors           | PASS    |  1 | 0.72 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L264)              | describe           | output from ds\_percentiles is as expected                 | PASS    |  1 | 0.11 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L272)              | describe           | output from ds\_percentiles is as expected                 | PASS    |  1 | 0.08 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L279)              | describe           | ds\_percentiles throws appropriate errors                  | PASS    |  1 | 0.75 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L286)              | describe           | ds\_percentiles throws appropriate errors                  | PASS    |  1 | 0.82 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L294)              | describe           | output from ds\_extreme\_obs is as expected                | PASS    |  1 | 0.04 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L301)              | describe           | ds\_extreme\_obs throws appropriate errors                 | PASS    |  1 | 0.76 |
+| [test-describe.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-describe.R#L307)              | describe           | ds\_extreme\_obs throws appropriate errors                 | PASS    |  1 | 0.66 |
+| [test-f-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-f-dist.R#L5)                    | f-dist             | dist\_f\_plot throws the appropriate warning               | PASS    |  1 | 1.85 |
+| [test-f-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-f-dist.R#L9)                    | f-dist             | dist\_f\_prob throws the appropriate warning               | PASS    |  1 | 2.23 |
+| [test-f-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-f-dist.R#L13)                   | f-dist             | dist\_f\_perc throws the appropriate warning               | PASS    |  1 | 1.67 |
+| [test-freq-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-table.R#L5)            | freq\_table        | output from ds\_freq\_table matches expected results       | PASS    |  6 | 0.27 |
+| [test-freq-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-table.R#L15)           | freq\_table        | output from ds\_freq\_table plot is as expected            | SKIPPED |  1 | 0.00 |
+| [test-freq-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-table.R#L24)           | freq\_table        | output from ds\_freq\_cont matches expected result         | PASS    |  8 | 0.14 |
+| [test-freq-table.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-freq-table.R#L35)           | freq\_table        | output from ds\_freq\_table plot is as expected            | SKIPPED |  1 | 0.00 |
+| [test-group-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-group-summary.R#L14)     | ds\_group\_summary | output from ds\_group\_summary matches the expected result | PASS    |  6 | 0.57 |
+| [test-group-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-group-summary.R#L40_L43) | ds\_group\_summary | ds\_group\_summary throws the appropriate error            | PASS    |  2 | 2.10 |
+| [test-group-summary.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-group-summary.R#L52)     | ds\_group\_summary | output from ds\_group\_summary plot is as expected         | SKIPPED |  1 | 0.00 |
+| [test-multistats.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-multistats.R#L8)            | multistats         | output from multistats is as expected                      | PASS    |  1 | 0.33 |
+| [test-normal-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-normal-dist.R#L4)          | normal-dist        | dist\_norm\_plot throws the appropriate warning            | PASS    |  1 | 2.25 |
+| [test-normal-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-normal-dist.R#L8)          | normal-dist        | dist\_norm\_prob throws the appropriate warning            | PASS    |  1 | 2.31 |
+| [test-normal-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-normal-dist.R#L12)         | normal-dist        | dist\_norm\_perc throws the appropriate warning            | PASS    |  1 | 2.52 |
+| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L41)                   | print              | output from print\_cross matches expected output           | PASS    |  1 | 0.21 |
+| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L70)                   | print              | output from print\_screener matches expected output        | PASS    |  1 | 0.15 |
+| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L91)                   | print              | output from print\_fcont matches the expected result       | PASS    |  1 | 0.33 |
+| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L109)                  | print              | output from freq\_table matches the expected result        | PASS    |  1 | 0.19 |
+| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L137)                  | print              | output from group\_summary matches the expected result     | PASS    |  1 | 0.95 |
+| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L210)                  | print              | output from print\_ftable2 matches the expected result     | PASS    |  1 | 0.74 |
+| [test-output.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-output.R#L300)                  | print              | output from print\_cross2 matches the expected result      | PASS    |  1 | 0.67 |
+| [test-plots.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-plots.R#L7)                      | test-plots         | ds\_plot\_scatter throws errors as expected                | PASS    |  3 | 3.18 |
+| [test-plots.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-plots.R#L13)                     | test-plots         | ds\_plot\_histogram throws errors as expected              | PASS    |  2 | 2.04 |
+| [test-plots.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-plots.R#L18)                     | test-plots         | ds\_plot\_density throws errors as expected                | PASS    |  2 | 1.83 |
+| [test-plots.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-plots.R#L23)                     | test-plots         | ds\_plot\_bar throws errors as expected                    | PASS    |  2 | 2.20 |
+| [test-plots.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-plots.R#L28)                     | test-plots         | ds\_plot\_box\_single throws errors as expected            | PASS    |  2 | 2.83 |
+| [test-plots.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-plots.R#L33)                     | test-plots         | ds\_plot\_bar\_stacked throws errors as expected           | PASS    |  3 | 6.53 |
+| [test-plots.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-plots.R#L39)                     | test-plots         | ds\_plot\_bar\_grouped throws errors as expected           | PASS    |  3 | 6.70 |
+| [test-plots.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-plots.R#L45)                     | test-plots         | ds\_plot\_box\_group throws errors as expected             | PASS    |  4 | 6.41 |
+| [test-screen.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-screen.R#L9)                    | ds\_screener       | output from ds\_screener matches the expected result       | PASS    | 13 | 0.27 |
+| [test-screen.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-screen.R#L48)                   | ds\_screener       | ds\_screener throws the appropriate error                  | PASS    |  1 | 0.78 |
+| [test-summary-stats.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-summary-stats.R#L7)      | test-summary-stats | output from ds\_summary is as expected                     | PASS    |  1 | 0.05 |
+| [test-summary-stats.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-summary-stats.R#L13)     | test-summary-stats | ds\_summary\_stats throws appropriate errors               | PASS    |  2 | 1.49 |
+| [test-t-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-t-dist.R#L4)                    | t-dist             | dist\_t\_plot throws the appropriate warning               | PASS    |  1 | 0.95 |
+| [test-t-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-t-dist.R#L8)                    | t-dist             | dist\_t\_prob throws the appropriate warning               | PASS    |  1 | 1.74 |
+| [test-t-dist.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-t-dist.R#L12)                   | t-dist             | dist\_t\_perc throws the appropriate warning               | PASS    |  1 | 1.57 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L4)                      | utils              | output from formatc matches the expected result            | PASS    |  2 | 0.05 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L10)                     | utils              | output from formatl matches the expected result            | PASS    |  2 | 0.06 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L16)                     | utils              | output from formatr matches the expected result            | PASS    |  1 | 0.02 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L21)                     | utils              | output from formats matches the expected result            | PASS    |  1 | 0.01 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L26)                     | utils              | output from formatnc matches the expected result           | PASS    |  1 | 0.00 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L31)                     | utils              | output from format\_gap matches the expected result        | PASS    |  1 | 0.00 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L36)                     | utils              | output from formatol matches the expected result           | PASS    |  2 | 0.00 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L42)                     | utils              | output from l matches the expected result                  | PASS    |  3 | 0.04 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L49)                     | utils              | output from percent matches the expected result            | PASS    |  2 | 0.00 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L55)                     | utils              | output from formata matches the expected result            | PASS    |  1 | 0.04 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L60)                     | utils              | output from formatas matches the expected result           | PASS    |  1 | 0.01 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L65)                     | utils              | output from formatter\_freq matches the expected result    | PASS    |  1 | 0.00 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L72)                     | utils              | output from row\_pct matches the expected result           | PASS    |  1 | 0.02 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L79)                     | utils              | output from col\_pct matches the expected result           | PASS    |  1 | 0.00 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L84)                     | utils              | output from formatter matches the expected result          | PASS    |  1 | 0.01 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L89)                     | utils              | output from fround matches the expected result             | PASS    |  1 | 0.02 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L94)                     | utils              | output form xmm matches the expected result                | PASS    |  1 | 0.00 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L98)                     | utils              | output from seql matches the expected result               | PASS    |  1 | 0.01 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L102)                    | utils              | output form xmmp matches the expected result               | PASS    |  2 | 0.02 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L107)                    | utils              | output from seqlp matches the expected result              | PASS    |  2 | 0.02 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L113)                    | utils              | output form xmn matches the expected result                | PASS    |  1 | 0.00 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L117)                    | utils              | output from seqln matches the expected result              | PASS    |  1 | 0.01 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L123)                    | utils              | output from intervals matches expected result              | PASS    |  1 | 0.02 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L128_L131)               | utils              | output from freq matches the expected result               | PASS    |  1 | 0.00 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L135)                    | utils              | output from stat\_uss matches the expected result          | PASS    |  1 | 0.01 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L140)                    | utils              | output from div\_by matches the expected result            | PASS    |  1 | 0.05 |
+| [test-utils.R](https://github.com/rsquaredacademy/descriptr/tree/develop/tests/testthat/test-utils.R#L144)                    | utils              | output from uss is as expected                             | PASS    |  1 | 0.00 |
 
 
    
 
-
      Session Info 
+
    
+
+ Session Info 
 
 | Field    | Value                            |
-|:---------|:---------------------------------|
+| :------- | :------------------------------- |
 | Version  | R version 3.5.1 (2018-07-02)     |
 | Platform | x86\_64-w64-mingw32/x64 (64-bit) |
-| Running  | Windows >= 8 x64 (build 9200) |
+| Running  | Windows \>= 8 x64 (build 9200)   |
 | Language | English\_India                   |
 | Timezone | Asia/Calcutta                    |
 
 | Package  | Version |
-|:---------|:--------|
-| testthat | 2.0.0   |
-| covr     | 3.2.0   |
+| :------- | :------ |
+| testthat | 2.0.1   |
+| covr     | 3.2.1   |
 | covrpage | 0.0.59  |