shapiro_test

This function is a wrapper around <code><a href="/link/stats%3A%3Ashapiro.test()?package=psyntur&version=0.1.1" data-mini-rdoc="psyntur::stats::shapiro.test()">stats::shapiro.test()</a></code>.
It implements the Shapiro-Wilk test that tests the null hypothesis that a sample of values is a sample from a normal distribution.
Thie function can be applied to single vectors or groups of vectors.

Provides functions and data-sets that are helpful
for teaching statistics and data analysis. It was originally designed for use
when teaching students in the Psychology Department at Nottingham Trent University.

Mark Andrews

psyntur

Helper Tools for Teaching Statistical Data Analysis

Jens Roeser

shapiro_test function

<dl><dt>y</dt>
<dd>A numeric variable whose normality is being tested.</dd>
<dt>by</dt>
<dd>An optional grouping variable</dd>
<dt>data</dt>
<dd>A data frame containing <code>y</code> and the <code>by</code> variable</dd></dl>

Arguments

This function is a wrapper around <code><a href='https://rdrr.io/r/stats/shapiro.test.html'>stats::shapiro.test()</a></code>.
It implements the Shapiro-Wilk test that tests the null hypothesis that a sample of values is a sample from a normal distribution.
Thie function can be applied to single vectors or groups of vectors.

Shapiro-Wilk normality test — shapiro_test

<dl>

<dt>y</dt>
<dd>A numeric variable whose normality is being tested.</dd>


<dt>by</dt>
<dd>An optional grouping variable</dd>


<dt>data</dt>
<dd>A data frame containing <code>y</code> and the <code>by</code> variable</dd>

</dl>

shapiro_test: Shapiro-Wilk normality test

Description

Usage

Value

Arguments

Examples