e_silhouette

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_silhouette function

<dl><dt>data</dt>
<dd>a data.frame object.</dd>
<dt>max.clusters</dt>
<dd>a numeric value specifying the number of times to generate the model.</dd></dl>

Arguments

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

Author

Silhouette plot — e_silhouette

<dl>

<dt>data</dt>
<dd>a data.frame object.</dd>


<dt>max.clusters</dt>
<dd>a numeric value specifying the number of times to generate the model.</dd>

</dl>

e_silhouette: Silhouette plot

Description

Usage

Value

Arguments

Author

Examples