gg_dendrograma

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

gg_dendrograma function

<dl><dt>model</dt>
<dd>an object of class hclust.</dd>
<dt>k</dt>
<dd>a vector specifying the cluster of each individual.</dd>
<dt>colors</dt>
<dd>a vector of color for each cluster.</dd></dl>

Arguments

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

Author

Dendrogram plot — gg_dendrograma

<dl>

<dt>model</dt>
<dd>an object of class hclust.</dd>


<dt>k</dt>
<dd>a vector specifying the cluster of each individual.</dd>


<dt>colors</dt>
<dd>a vector of color for each cluster.</dd>

</dl>

gg_dendrograma: Dendrogram plot

Description

Usage

Value

Arguments

Author