Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

shapiro_test

Shapiro-Wilk Normality Test


Description

Provides a pipe-friendly framework to performs Shapiro-Wilk test of normality. Support grouped data and multiple variables for multivariate normality tests. Wrapper around the R base function shapiro.test(). Can handle grouped data. Read more: Normality Test in R.

Usage

shapiro_test(data, ..., vars = NULL)

mshapiro_test(data)

Arguments

data

a data frame. Columns are variables.

...

One or more unquoted expressions (or variable names) separated by commas. Used to select a variable of interest.

vars

optional character vector containing variable names. Ignored when dot vars are specified.

Value

a data frame containing the value of the Shapiro-Wilk statistic and the corresponding p.value.

Functions

  • shapiro_test: univariate Shapiro-Wilk normality test

  • mshapiro_test: multivariate Shapiro-Wilk normality test. This is a modified copy of the mshapiro.test() function of the package mvnormtest, for internal convenience.

Examples

# Shapiro Wilk normality test for one variable
iris %>% shapiro_test(Sepal.Length)

# Shapiro Wilk normality test for two variables
iris %>% shapiro_test(Sepal.Length, Petal.Width)

# Multivariate normality test
mshapiro_test(iris[, 1:3])

rstatix

Pipe-Friendly Framework for Basic Statistical Tests

v0.7.0
GPL-2
Authors
Alboukadel Kassambara [aut, cre]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.