shapiro_test

mshapiro_test

a data frame. Columns are variables.

data

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

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

vars

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
 <code><a href="/link/shapiro.test?package=rstatix&version=0.7.0" data-mini-rdoc="rstatix::shapiro.test">shapiro.test</a>()</code>. Can handle grouped data. Read more:
 <a href="https://www.datanovia.com/en/lessons/normality-test-in-r/">Normality
 Test in R</a>.

Provides a simple and intuitive pipe-friendly framework, coherent with the 'tidyverse' design philosophy,
for performing basic statistical tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses.
The output of each test is automatically transformed into a tidy data frame to facilitate visualization.
Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix.
Functions are also included to facilitate the analysis of factorial experiments, including purely 'within-Ss' designs
(repeated measures), purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs.
It's also possible to compute several effect size metrics, including "eta squared" for ANOVA, "Cohen's d" for t-test and
'Cramer V' for the association between categorical variables.
The package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.

Alboukadel Kassambara

rstatix

Pipe-Friendly Framework for Basic Statistical Tests

shapiro_test function

<dl><dt>data</dt>
<dd>a data frame. Columns are variables.</dd>
<dt>...</dt>
<dd>One or more unquoted expressions (or variable names) separated by
commas. Used to select a variable of interest.</dd>
<dt>vars</dt>
<dd>optional character vector containing variable names. Ignored when
dot vars are specified.</dd></dl>

Arguments

<ul>
<li><code>shapiro_test</code>: univariate Shapiro-Wilk normality test</li>
<li><code>mshapiro_test</code>: multivariate Shapiro-Wilk normality test. This is a
modified copy of the <code>mshapiro.test()</code> function of the package
mvnormtest, for internal convenience.</li>
</ul>

Functions

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
 <code><a href='https://rdrr.io/r/stats/shapiro.test.html'>shapiro.test</a>()</code>. Can handle grouped data. Read more:
 <a href='https://www.datanovia.com/en/lessons/normality-test-in-r/'>Normality
 Test in R</a>.

Shapiro-Wilk Normality Test — shapiro_test

<dl>

<dt>data</dt>
<dd>a data frame. Columns are variables.</dd>


<dt>...</dt>
<dd>One or more unquoted expressions (or variable names) separated by
commas. Used to select a variable of interest.</dd>


<dt>vars</dt>
<dd>optional character vector containing variable names. Ignored when
dot vars are specified.</dd>

</dl>

shapiro_test: Shapiro-Wilk Normality Test

Description

Usage

Value

Arguments

Functions

Examples