Multiple Factor Analysis to analyse several data tables

July 18, 2017
By

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

How to take into account and how to compare information from different information sources? Multiple Factor Analysis is a principal Component Methods that deals with datasets that contain quantitative and/or categorical variables that are structured by groups.

Here is a course with videos that present the method named Multiple Factor Analysis.

Multiple Factor Analysis (MFA) allows you to study complex data tables, where a group of individuals is characterized by variables structured as groups, and possibly coming from different information sources. Our interest in the method is due to it being able to analyze a data table as a whole, but also its ability to compare information provided by the various information sources.

Four videos present a course on MFA, highlighting the way to interpret the data. Then  you will find videos presenting the way to implement MFA in FactoMineR.

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

MFA

 

 

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

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)