e_afcmvar_3D

Performs an exploratory data analysis through a 'shiny' interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.

Oldemar Rodriguez

discoveR

Exploratory Data Analysis System

Diego Jiménez

e_afcmvar_3D function

<dl><dt>modelo</dt>
<dd>an object of class AFCM [FactoMineR].</dd>
<dt>axes</dt>
<dd>a numeric vector of length 3 specifying the dimensions to be plotted.</dd>
<dt>colorVar</dt>
<dd>a color for the variables well represented.</dd></dl>

Arguments

Diego Jimenez &lt;diego.jimenez@promidat.com&gt;

Author

AFCM plot of variables in 3D — e_afcmvar_3D

<dl>

<dt>modelo</dt>
<dd>an object of class AFCM [FactoMineR].</dd>


<dt>axes</dt>
<dd>a numeric vector of length 3 specifying the dimensions to be plotted.</dd>


<dt>colorVar</dt>
<dd>a color for the variables well represented.</dd>

</dl>

e_afcmvar_3D: AFCM plot of variables in 3D

Description

Usage

Value

Arguments

Author

Examples