PCA course using FactoMineR

July 13, 2017
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(This article was first published on François Husson, and kindly contributed to R-bloggers)

Here is a course with videos that present Principal Component Analysis in a French way. Three videos present a course on PCA, highlighting the way to interpret the data. Then  you will find videos presenting the way to implement in FactoMineR, to deal with missing values in PCA 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 PCA results.

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

PCA3

 

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

bookR

To leave a comment for the author, please follow the link and comment on their blog: François Husson.

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