stepdisc.calc

This function perform stepwise discriminant analysis.

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

stepdisc.calc function

<dl><dt>object</dt>
<dd>an object of class <code>morphodata</code>.</dd><dt>FToEnter</dt>
<dd>significance levels for a variable to enter the subset.</dd><dt>FToStay</dt>
<dd>significance levels for a variable to stay in the subset.</dd></dl>

Arguments

Stepwise Discriminant Analysis — stepdisc.calc

<dl>

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

<dt>FToEnter</dt>
<dd>significance levels for a variable to enter the subset.</dd>

<dt>FToStay</dt>
<dd>significance levels for a variable to stay in the subset.</dd>

</dl>

stepdisc.calc: Stepwise Discriminant Analysis

Description

Usage

Value

Arguments

Details

Examples