rm_anova: Repeated measures ANOVA

In matcasti/Report: Inferential statistics and reporting in APA style

Repeated measures ANOVA

Description

This functions allows you to perform a one way repeated measures ANOVA, making adjustments for violations of sphericity, with no dependencies related to {afex} or {car} packages.

Usage

rm_anova(
  data,
  x,
  y,
  is_spherical,
  adjust,
  effsize.type = "omega",
  conf.level = 0.95,
  character.only = FALSE,
  ...
)

Arguments

data	Data frame from which x and y (and possibly rowid if provided) will be searched.
x	Character name for the grouping factor. Must be present in data
y	Character name for the response variable. Must be present in data.
is_spherical	Logical. checks whether to assume that the sphericity assumptions holds or not, if missing (the default) it will be tested using mauchly test with a threshold of 0.05.
adjust	Character. correction for sphericity to be applied, it can be any character of length one starting with 'g' (indicating Greenhouse–Geisser correction) or 'h' (indicating Huynh–Feldt correction).
effsize.type	Options are "unbiased" or "omega" for partial omega squared and "biased" or "eta" for partial eta squared as a measure of effect size. For non-parametric analysis, Kendalls' W is used for paired designs, where rank epsilon squared is used for independent groups designs.
conf.level	Confidence/Credible Interval (CI) level. Default to 0.95 (95%).
character.only	Logical. checks whether to use the unevaluated expression or its content (when TRUE), asumming is a character vector. Defaults to FALSE.
...	Currently not used.

matcasti/Report documentation built on July 23, 2024, 10:24 a.m.