R: Repeated-Measures ANVOA

repeated_measures_anova

R Documentation

Repeated-Measures ANVOA

Description

Conduct a repeated-measures analysis of variance (ANOVA). This analysis will be appropriate for within-subjects experimental design.

Usage

repeated_measures_anova(
  data = NULL,
  p_col_name = NULL,
  measure_vars = NULL,
  histograms = TRUE,
  round_w = 2,
  round_epsilon = 2,
  round_df_model = 2,
  round_df_error = 2,
  round_f = 2,
  round_ges = 2
)

Arguments

`data`	a data object (a data frame or a data.table)
`p_col_name`	name of the column identifying participants
`measure_vars`	names of the columns containing repeated measures (within-subjects variables)
`histograms`	logical. If `histograms = TRUE`, histograms of the repeated measures will be plotted. If `histograms = FALSE`, no histograms will be plotted.
`round_w`	number of decimal places to which to round W statistic from Mauchly's test (default = 2)
`round_epsilon`	number of decimal places to which to round the epsilon statistic from Greenhouse-Geisser or Huynh-Feldt correction (default = 2)
`round_df_model`	number of decimal places to which to round the corrected degrees of freedom for model (default = 2)
`round_df_error`	number of decimal places to which to round the corrected degrees of freedom for error (default = 2)
`round_f`	number of decimal places to which to round the F statistic (default = 2)
`round_ges`	number of decimal places to which to round generalized eta-squared (default = 2)

Details

The following package(s) must be installed prior to running the function: Package 'ez' v4.4-0 (or possibly a higher version) by Michael A Lawrence (2016), https://cran.r-project.org/package=ez

Examples

## Not run: 
repeated_measures_anova(
  data = mtcars, p_col_name = "cyl", measure_vars = c("wt", "qsec"))

## End(Not run)