Grouped Statistical Analyses in a Tidy Way

Documentation for package ‘groupedstats’ version 2.0.1

grouped_aov	Running analysis of variance (aov) across multiple grouping variables.
grouped_glm	Function to run generalized linear model ('glm') across multiple grouping variables.
grouped_glmer	Function to run generalized linear mixed-effects model ('glmer') across multiple grouping variables.
grouped_lm	Running linear model ('lm') across multiple grouping variables.
grouped_lmer	Linear mixed-effects model ('lmer') across multiple grouping variables.
grouped_proptest	Function to run proportion test on grouped data.
grouped_slr	Running simple linear regression (slr) on multiple variables across multiple grouping variables.
grouped_summary	Descriptive statistics for multiple variables for all grouping variable levels
grouped_ttest	Function to run _t_-test on multiple variables across multiple grouping variables.
grouped_wilcox	Function to run two-sample Wilcoxon tests on multiple variables across multiple grouping variables.
lm_effsize_ci	Confidence intervals for (partial) eta-squared and omega-squared for linear models.
lm_effsize_standardizer	Standardize a dataframe with effect sizes for 'aov', 'lm', 'aovlist', etc. objects.