ACMconcatenated

Multiple correspondence analysis applied to a concatenated table.

Covers k-table control analysis using multivariate control charts for qualitative variables using fundamentals of multiple correspondence analysis and multiple factor analysis. The graphs can be shown in a flat or interactive way, in the same way all the outputs can be shown in an interactive shiny panel.

Wilson Rojas-Preciado

T2Qv

Control Qualitative Variables

Mauricio Rojas-Campuzano

Purificación Galindo-Villardón

Omar Ruiz-Barzola

ACMconcatenated function

<dl><dt>base</dt>
<dd>Data set</dd>
<dt>IndK</dt>
<dd>Character with the name of the column that specifies the partition of the data set in k tables.</dd>
<dt>interactive</dt>
<dd>If it is TRUE, the graph will be shown interactively. If FALSE, the graph is displayed flat. FALSE is the default.</dd></dl>

Arguments

ACM Concatenated — ACMconcatenated

<dl>

<dt>base</dt>
<dd>Data set</dd>


<dt>IndK</dt>
<dd>Character with the name of the column that specifies the partition of the data set in k tables.</dd>


<dt>interactive</dt>
<dd>If it is TRUE, the graph will be shown interactively. If FALSE, the graph is displayed flat. FALSE is the default.</dd>

</dl>

ACMconcatenated: ACM Concatenated

Description

Usage

Value

Arguments

Examples