normality_test_t: normality_test_t

In aelab: Data Processing for Aquatic Ecology

normality_test_t

Description

Test normality of a variable within two groups using Shapiro-Wilk on raw, square-root, and log10 transforms (for t-test context).

Usage

normality_test_t(df, variable_name, group, group_1, group_2)

Arguments

df	A data frame.
variable_name	Name of the numeric variable column (string).
group	<['data-masking'][dplyr::dplyr_data_masking]> The grouping column.
group_1	Value identifying the first group.
group_2	Value identifying the second group.

Value

A tibble with Shapiro-Wilk p-values for each group × transformation combination.

Examples

df <- data.frame(
  grp = c("A","A","A","B","B","B"),
  val = c(1.1, 2.0, 1.5, 4.2, 3.8, 4.5)
)
normality_test_t(df, "val", grp, "A", "B")

aelab documentation built on Feb. 23, 2026, 5:07 p.m.