Repeated measures ANOVA — rm

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.