textindsup

Adds supplementary individuals to a MCA cloud of the individuals.

 multivariate

 aplot 

Many tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>), such as MCA variants (Specific Multiple Correspondence Analysis, Class Specific Analysis), many graphical and statistical aids to interpretation (structuring factors, concentration ellipses, inductive tests, bootstrap validation, etc.) and multiple-table analysis (Multiple Factor Analysis, between- and inter-class analysis, Principal Component Analysis and Correspondence Analysis with Instrumental Variables, etc.).

Nicolas Robette

GDAtools

Geometric Data Analysis

textindsup function

<dl> <dt>resmca</dt>
<dd>object of class <code>MCA</code>, <code>speMCA</code>, or <code>csMCA</code></dd> <dt>supdata</dt>
<dd>data frame with the supplementary individuals. It must have the same factors as the data frame used as input for the initial MCA.</dd> <dt>axes</dt>
<dd>numeric vector of length 2, specifying the dimensions (axes) to plot (default is c(1,2))</dd> <dt>col</dt>
<dd>color for the labels of the categories (default is "darkred")</dd></dl>

Arguments

Author

Plot of supplementary individuals — textindsup

<dl>

 <dt>resmca</dt>
<dd>object of class <code>MCA</code>, <code>speMCA</code>, or <code>csMCA</code></dd>

 <dt>supdata</dt>
<dd>data frame with the supplementary individuals. It must have the same factors as the data frame used as input for the initial MCA.</dd>

 <dt>axes</dt>
<dd>numeric vector of length 2, specifying the dimensions (axes) to plot (default is c(1,2))</dd>

 <dt>col</dt>
<dd>color for the labels of the categories (default is "darkred")</dd>

</dl>

textindsup: Plot of supplementary individuals

Description

Usage

Arguments

Author

See Also

Examples