is_normal: Normality test

In normality: Tests for Departure from Normality

Normality test

Description

A handy wrapper for data normality assessment using the Shapiro-Wilk-Royston, D'Agostino-Pearson, and Anderson-Darling tests.

Usage

is_normal(data, formula = NULL, alpha = 0.05, sensitivity = 2, summary = FALSE)

Arguments

data	A data frame or a numeric vector.
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).
sensitivity	Numeric, range from 1 to 3 (default: 2). The greater the value, the greater chance to consider as non-normal.
summary	Logical (default: FALSE). If TRUE, show the summary table.

Value

A boolean value (or a list if summary = TRUE).

Examples

is_normal(iris, Sepal.Length ~ Species)

normality documentation built on Aug. 23, 2026, 1:07 a.m.