Check the assumptions for an ANOVA with a variable number of factors: Normality and Homogeneity of variance assumption.

Check the assumptions for an ANOVA with a variable number of factors: Normality and Homogeneity of variance assumption.

Usage

checkAssumptionsForAnova(data, y, factors)

check_assumptions_anova(data, y, factors)

Arguments

data

the data frame

y

The dependent variable for which assumptions should be checked

factors

A character vector of factor names

Value

A message indicating whether to use parametric or non-parametric ANOVA

Naming

check_assumptions_anova() is the spelling used throughout the documentation and the one to prefer in new code: the report_* / plot_* / check_* prefixes make the API discoverable through autocomplete.

checkAssumptionsForAnova() is the original name. Both names refer to the same function object, so they are entirely interchangeable; the original remains fully supported and is not scheduled for removal, and existing scripts keep working unchanged.

Examples

# \donttest{
set.seed(123)

main_df <- data.frame(
  tlx_mental      = rnorm(40),
  Video           = factor(rep(c("A", "B"), each = 20)),
  DriverPosition  = factor(rep(c("Left", "Right"), times = 20))
)

checkAssumptionsForAnova(
  data    = main_df,
  y       = "tlx_mental",
  factors = c("Video", "DriverPosition")
)
#> You may take parametric ANOVA (function anova_test). See https://www.datanovia.com/learn/biostatistics/anova/anova-in-r#check-assumptions-1 for more information.
# }