From deeed21b08a60886206b7ab08664c2570d084181 Mon Sep 17 00:00:00 2001 From: "Mattan S. Ben-Shachar" Date: Sun, 31 Mar 2024 17:37:14 +0300 Subject: [PATCH] spelling --- R/utils_validate_input_data.R | 2 +- inst/WORDLIST | 17 +++++++++++------ vignettes/statistical_power.Rmd | 4 ++-- 3 files changed, 14 insertions(+), 9 deletions(-) diff --git a/R/utils_validate_input_data.R b/R/utils_validate_input_data.R index 0aa5e2f1..089d702a 100644 --- a/R/utils_validate_input_data.R +++ b/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)" ) diff --git a/inst/WORDLIST b/inst/WORDLIST index a02cc55d..15aff426 100644 --- a/inst/WORDLIST +++ b/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 diff --git a/vignettes/statistical_power.Rmd b/vignettes/statistical_power.Rmd index c28c5179..499162e9 100644 --- a/vignettes/statistical_power.Rmd +++ b/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(