Tutorial on MCA - Multiple Correspondence Analysis - with R (Factoshiny & FactoMineR)

[@yulinliu850]

Thanks for sharing this wonderful tool!!!

[@ederdanielcorvalao1119]

Thanks, for FactoMiner ... please make a Tutorial on Generalized Procrustean Analysis - continue this great work

[@gssmytube]

Dr Francois your contribution is great in CA and MCA Now can you bring some shiny dash board on K means clustering PAM and CLARA

[@HussonFrancois]

There is a course on clustering here: husson.github.io/MOOC.html#clusteringcourse

[@gssmytube]

@@HussonFrancois thank you so much sir

[@user-uz2gb9ci7u]

thanks for the video

[@mariaanagonzalezalvarez]

Gracias!!!!

[@rahulupadhyay9020]

Very good video. Easy explanation. Can you please share a video on clustering using Multiple Correspondence Analysis (MCA).

[@HussonFrancois]

There is a vidéo on clustering. See videos on PCA, CA, MCA clustering: husson.github.io/MOOC.html#AnaDoGB

[@RidgyULRASite]

Thank you very much! Very well explained and such an amazing tool! My question might sound dumb, but I am having problems with the package "Factoshiny" and "FactomineR". They do not appear on my package pane, nor can I load them with the function "library()". Does anyone knows why?

[@RidgyULRASite]

I ended up using:
> if (!require("devtools")) install.packages("devtools")
>library(devtools)
>install_github("husson/Factoshiny")
...and following what Ecosia told me to do xD (e.g. updating my R version to 4.0.5)

[@Adelphos0101]

Really helpful and easy to replicate, thank you so much.

[@saurabhwabale7957]

Please reply
Factoshiny package not working now....
Which one I use now

[@lindabenismail112]

Dr Francois, merci pour votre explication.
Je cherche à afficher les résultats de l'ACP et les méthodes de clustering sur une dashboard ,que j'ai rencontrer plusieurs difficultés à créer.
Pourriez vous m'aider, s'il vous plait, avec des sites ou des codes?

[@alexliu1115]

thanks

[@saumitrasinha89]

Thanks for this great video! I have a question about drawing categories according to contribution or cos2, is this based on the first principal component? Or is there some overall contribution or cos2?

[@alexzandercolson9857]

I guess it's pretty randomly asking but does anybody know of a good place to stream new tv shows online?

[@andresfelipeochoamunoz1922]

thanks for the video