Function reference • groupedstats

Package - "stats" The `grouped_` versions of functions from `stats` package.
`grouped_lm()`	Running linear model (`lm`) across multiple grouping variables.
`grouped_glm()`	Function to run generalized linear model (`glm`) across multiple grouping variables.
`grouped_aov()`	Running analysis of variance (aov) across multiple grouping variables.
`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.
Package - "lme4" The `grouped_` versions of functions from `lme4` package.
`grouped_lmer()`	Linear mixed-effects model (`lmer`) across multiple grouping variables.
`grouped_glmer()`	Function to run generalized linear mixed-effects model (`glmer`) across multiple grouping variables.
Reexported functions Useful functions re-exported from other packages.
`reexports`	Objects exported from other packages
Miscellaneous functions The `grouped_` versions of functions from miscellaneous packages.
`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_proptest()`	Function to run proportion test on grouped data.
Helper functions Helpers for carrying out routine statistical operations.
`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.