corr_cluster

This function performs hierarchical clustering on a correlation matrix, providing insights into the relationships between variables.
 It generates a dendrogram visualizing the hierarchical clustering of variables based on their correlation patterns.

A quick and effective data exploration toolkit. It provides essential features, including a descriptive statistics table for a quick overview of your dataset, interactive distribution plots to visualize variable patterns, Principal Component Analysis for dimensionality reduction and feature analysis, missing value imputation methods, and correlation analysis.

Zhiwei Lin

AnalysisLin

Exploratory Data Analysis

corr_cluster function

<dl><dt>data</dt>
<dd>Input data frame.</dd>
<dt>type</dt>
<dd>The type of correlation to be computed. It can be "pearson", "kendall", or "spearman".</dd>
<dt>method</dt>
<dd>The method for hierarchical clustering. It can be "complete", "single", "average", "ward.D", "ward.D2", "mcquitty", "median", or "centroid".</dd>
<dt>hclust_method</dt>
<dd>The hierarchical clustering method. It can be "complete", "single", "average", "ward.D", "ward.D2", "mcquitty", "median", or "centroid".</dd></dl>

Arguments

Correlation Clustering — corr_cluster

<dl>

<dt>data</dt>
<dd>Input data frame.</dd>


<dt>type</dt>
<dd>The type of correlation to be computed. It can be "pearson", "kendall", or "spearman".</dd>


<dt>method</dt>
<dd>The method for hierarchical clustering. It can be "complete", "single", "average", "ward.D", "ward.D2", "mcquitty", "median", or "centroid".</dd>


<dt>hclust_method</dt>
<dd>The hierarchical clustering method. It can be "complete", "single", "average", "ward.D", "ward.D2", "mcquitty", "median", or "centroid".</dd>

</dl>

corr_cluster: Correlation Clustering

Description

Usage

Value

Arguments

Examples