spelling

R/utils_validate_input_data.R

@@ -12,7 +12,7 @@
     if (length(x) != 3L) {
       insight::format_error(
         "Formula must have one of the following forms:",
-        "          y ~ group   (independant samples)",
+        "          y ~ group   (independent samples)",
         "          y ~ 1       (one sample)",
         "  Pair(x,y) ~ 1       (paired samples)"
       )

inst/WORDLIST

@@ -49,7 +49,6 @@ Falk
 Faraggi
 Fei
 Fo
-Fum
 Funder
 GFI
 Gelman
@@ -82,8 +81,6 @@ Kiesser
 Koo
 Kruschke
 LMM
-Labelled
-labelled
 Lajeunesse
 Lakens
 Landis
@@ -126,6 +123,7 @@ Penfield
 PloS
 Psychometrika
 Psychonomic
+Pustejovsky
 RFI
 RMR
 RMSEA
@@ -137,17 +135,21 @@ Ringle
 Rosenthal
 Rothstein
 Rouder
+Rouder's
 Routledge
 Ruscio
 SDs
 SEM
+SMD
 SRMR
 Sarstedt
 Sawilowsky
 Schumacker
 Schweder
 Shachar
+Shadish
 Shmekels
+Speckman
 Steiger
 Szodorai
 Szumilas
@@ -172,6 +174,7 @@ anova
 arXiv
 arcsin
 biserial
+blogspot
 bmwiernik
 brglm
 brms
@@ -189,21 +192,24 @@ doi
 dynamicfit
 easystats
 effectSize
+effectsize’
 et
 fixest
 frac
 friedman
 ggstatsplot
-github
 glmmadmb
 gtsummary
 homoscedasticity
+http
 https
+independant
 infty
 intraclass
-io
+jeffrouder
 joss
 kruskal
+labelled
 lifecycle
 lm
 mattansb
@@ -233,7 +239,6 @@ rescale
 rmANOVA
 sd
 semipartial
-shinyapps
 statswiki
 strengejacke
 th

vignettes/statistical_power.Rmd

@@ -79,7 +79,7 @@ So this is where we focus in this vignette, and pay special attention to the eas
 The following section walks through a simple applied example to ensure 1) the concepts surrounding and involved in power are clear and digestible, and 2) that the role and value of the `effectsize` package are likewise clear and digestible.
 Understanding both of these realities will allow for more complex extensions and applications to a wide array of research problems and questions. 
 
-# Example: Comparing Means of Independant Samples
+# Example: Comparing Means of Independent Samples
 
 In addition to relying on the _easystats_ `effectsize` package for effect size calculation, we will also leverage the simple, but excellent `pwr` package for the following implementation of power analysis [@champley2017]. 
 
@@ -164,7 +164,7 @@ Given the prevalence of calculating effect sizes for different applications and
 There are many conversions available in the package. 
 Take a look [here](https://easystats.github.io/effectsize/reference/index.html#effect-size-conversion).
 
-This can also be dne directly by the user using the `t_to_d()` function:
+This can also be done directly by the user using the `t_to_d()` function:
 
 ```{r}
 t_to_d(