shapiroWilkTest

Calculates the Shapiro-Wilk normality test of characters for taxa.

Tools for multivariate analyses of morphological data, wrapped in one package, to make the workflow convenient and fast. Statistical and graphical tools provide a comprehensive framework for checking and manipulating input data, statistical analyses, and visualization of results. Several methods are provided for the analysis of raw data, to make the dataset ready for downstream analyses. Integrated statistical methods include hierarchical classification, principal component analysis, principal coordinates analysis, non-metric multidimensional scaling, and multiple discriminant analyses: canonical, stepwise, and classificatory (linear, quadratic, and the non-parametric k nearest neighbours). The philosophy of the package is described in Šlenker et al. 2022.

Marek Slenker

MorphoTools2

Multivariate Morphometric Analysis

Marek Šlenker

Petr Koutecký

Karol Marhold

shapiroWilkTest function

<dl><dt>object</dt>
<dd>an object of class <code>morphodata</code>.</dd>
<dt>p.value</dt>
<dd>a number or <code>NA</code> are acceptable. In the case of number, the output will be formatted as <code>"normally distributed"</code> or <code>"NOT normally distributed"</code>. In the case of <code>NA</code>, exact p-values will be returned.</dd></dl>

Arguments

Shapiro-Wilk Normality Test — shapiroWilkTest

<dl>

<dt>object</dt>
<dd>an object of class <code>morphodata</code>.</dd>


<dt>p.value</dt>
<dd>a number or <code>NA</code> are acceptable. In the case of number, the output will be formatted as <code>"normally distributed"</code> or <code>"NOT normally distributed"</code>. In the case of <code>NA</code>, exact p-values will be returned.</dd>

</dl>

shapiroWilkTest: Shapiro-Wilk Normality Test

Description

Usage

Value

Arguments

Examples