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.

Options

Row Dimension

Row dimension of the contingency table

Column dimension

Column dimension of the contingency table

Column to aggregate

Select the column to summarize (count, sum, unique count, mean)

Number of dimensions to keep

Eingevectors to extract

Aggregation function

Function used to aggregate the data

Nodes

• RowID7 ×
• Column Rename6 ×
• Image Output Widget6 ×
• R View (Workspace)6 ×
• R to Table6 ×
• Show all 20 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Interactive R Statistics Integration
• FeatureKNIME Quick Forms
• FeatureKNIME Views

Links

• No links available