Homogeneity of variance test — is_var

A convenient wrapper that returns a logical value indicating whether variances across groups are equal. It makes its decision based on the results of several homoscedasticity tests, including the modified Brown–Forsythe (MBF), Fligner–Killeen (FK), 't Lam's G (LG), Levene's (LV), and O'Neill–Mathews (OM) tests.

Usage

is_var_equal(
  data,
  formula = NULL,
  alpha = 0.05,
  silent = TRUE,
  summary = FALSE,
  sensitivity = 3
)

Arguments

data: A data frame or a list of numeric vectors.
formula: Formula (default: NULL). If data is a data frame, define the val ~ group.
alpha: Significance threshold, range from 0 to 1 (default: 0.05).
silent: A logical value. If FALSE (default), results are printed to the console. If TRUE, no output is printed.
summary: Logical (default: FALSE). If TRUE, show the summary table.
sensitivity: Numeric, range from 1 to 5 (default: 3). The greater the value, the greater chance to consider as variance not equal.

Value

A boolean value or a list if the summary is set to TRUE.

Examples

is_var_equal(roGFP[[1]], ro ~ grp)
#> [1] FALSE