Correspondence Analysis with FactoMineR

How to analyse a contingency table – count or document-word matrix? Here is a course with videos that present Correspondence Analysis in a French way. Five videos present a course on CA, highlighting the way to interpret the data. Then  you will find videos presenting the way to implement in FactoMineR.

With this course, you will be stand-alone to perform and interpret results obtain with Correspondence Analysis.

 

• Course
  1. Introduction
  2. Visualizing the row and column clouds
  3. Inertia and percentage of inertia
  4. Simultaneous representation
  5. Interpretation aids
  6. Material on the course videos: the slides, the transcription
• Tutorial in R
  • Correspondence Analysis in practice with FactoMineR
  • Text mining with correspondence analysis
  • You can also use the Factoshiny package to construct graphs interactively
• Automatic interpretation
  • The package FactoInvestigate allows you to obtain a first automatic description of your CA results.

For more information, you can see the book blow. Here are some reviews on the book and a link to order the book.

Text Mining on Wine Description

Here is an example of text mining with correspondence analysis.
Within the context of research into the characteristics of the wines from Chenin vines in the Loire Valley (French wines), a set of 10 dry white wines from Touraine were studied: 5 Touraine Protected Appellation of Origin (AOC) from Sauvignon vines, and 5 Vouvray AOC from Chenin vines.
These wines were described by 12 professionals. The instructions were: for each wine, give one or more words which, in your opinion, characterises the sensory aspects of the wine. This data was brought together in a table with the wines as rows and the columns as words, where the general term Xij is the number of times that a word j was associated with a wine i (data are available here).

This contingency table has been analysed using Correspondence Analysis (CA) to provide an image summarising the diversity of the wines.