aelab (version 1.1.0)

normality_test_t: 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)

Value

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

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.

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")