Correspondence Analysis with R

Correspondence analysis (CA) is a multivariate statistical technique that reveals the relative relationships between and within two groups of variables, based on data given in a contingency table.

This component apply the correspondence analysis to two string columns available in the dataset.

It automatically computes the contingency table. A third column to aggregate and an aggregation function must be specified in the configuration dialog in order to pivot the dataset.

A complete report with grapics is generated in the component dialog.

This component adopts "FactoMineR", "factoextra" and "ggplot2" R libraries.
You need R to be correctly configured to use this component.

Input ports

1. Type: Table
   Input table
   The input table needs two string columns and a third column to aggregate.

Output ports

1. Type: Table
   Row profiles
   A summary of all statistics necessary to validate the row profiles
2. Type: Table
   Column profiles
   A summary of all statistics necessary to validate the column profiles