Multiple Correspondence Analysis with FactoMineR

How to analyse of categorical data? Here is a course with videos that present Multiple Correspondence Analysis in a French way. The most well-known use of Multiple Correspondence Analysis is: surveys.

Four videos present a course on MCA, highlighting the way to interpret the data. Then  you will find videos presenting the way to implement MCA in FactoMineR, to deal with missing values in MCA thanks to the package missMDA and lastly a video to draw interactive graphs with Factoshiny. And finally you will see that the new package FactoInvestigate allows you to obtain automatically an interpretation of your MCA results.

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

 

• Course
  1. Data – issues
  2. Visualizing the point cloud of individuals
  3. Visualizing the cloud of categories
  4. Interpretation aids
  5. Material on the course videos: the slides, the transcription
• Tutorial in R
  • MCA in practice with FactoMineR
  • Handling missing values in MCA with missMDA and FactoMineR
  • Interactive graphs with Factoshiny
• Automatic interpretation
  • The package FactoInvestigate allows you to obtain a first automatic description of your MCA results.

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