Factoshiny: interactive graphs in exploratory multivariate data analysis

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  • Опубліковано 8 лют 2025
  • How to use Factoshiny, the library that allows us to use FactoMineR with a graphical user interface and that allow us to make interactive graphs.

КОМЕНТАРІ • 23

  • @assadbori7700
    @assadbori7700 8 років тому

    Magnifique François! Avec Factoshiny, effectuer une analyse factorielle ou des classifications automatiques devient "presque" un jeux d'enfant. Congrats!!!

  • @steveb.s.baleba5944
    @steveb.s.baleba5944 8 років тому

    So, interesting and helpfull this video. Now performing PCA analysis become very easy. Many thank F. Husson.........

  • @amaojava8252
    @amaojava8252 8 років тому

    Wow... I've been looking for this like forever @François Husson, THANK YOU !!!

  • @kieroneil
    @kieroneil 8 років тому

    That is super-cool. Can't wait to try it out.

  • @SITSIndustries
    @SITSIndustries 8 років тому

    1:12 The function names are back-to-front. Otherwise, thank you for such a great vid!

  • @ruisantos9535
    @ruisantos9535 8 місяців тому

    factorshiny doesnt install?

  • @devedikeni9365
    @devedikeni9365 8 років тому

    awesome

  • @OLDILAENDER
    @OLDILAENDER 8 років тому

    wow ! that´s awesome. Whish it would work with the vegan ordination methods, too.

  • @SandeepKumar-xo1hv
    @SandeepKumar-xo1hv 7 років тому

    Hi Franscois, being a novice to R and thus to coding itself, it's really easy to visualise PCA in R by this package. But there's one thing that i wanted to do. Which is to colour a set of individuals and not just one individual by manual selection. In fact, 176 rows in my data represents values from 6 individuals. How do I have this data represented as different colours for these 6 individuals? i.e rows 1:30 as colour "red", rows 31:53 as colour "green, and so on for all the data value (rows) for the 6 individuals so that i can see how data from these individuals varies on PCA graph.
    Could you please tell me way to do this in this package or somewhere else?
    Thanks

  • @amaojava8252
    @amaojava8252 8 років тому

    Hi François, in the HCPCshiny window, there is a tab called "Parangons"... what does it mean in English ?... online it says comparison !!!

    • @HussonFrancois
      @HussonFrancois  8 років тому +1

      The parangon is the individual of the cluster the closest to cthe centre of gravity of the culetr. You con see this video at 0:24
      ua-cam.com/video/w-EGV6xExWw/v-deo.html

  • @valabreu5870
    @valabreu5870 6 років тому

    Dr Husson how do I fix this error when using FactoInvestigate please?
    'Error in memory$eig$eigenvalue : $ operator is invalid for atomic vectors'
    I've checked class(res) and it's "list" like in example so I'm not sure what the problem is
    thank you so much in advance!

    • @HussonFrancois
      @HussonFrancois  6 років тому

      Can you update the packages FactoMineR and the FactoInvestigate. Maybe it will be ok.

  • @lastlondon
    @lastlondon 8 років тому +1

    is the script used in the video available anywhere to download?

    • @HussonFrancois
      @HussonFrancois  8 років тому

      All scripts are available in the MOOC (you can enroll in the MOOC, it is free): www.fun-mooc.fr/courses/agrocampusouest/40001S03EN/session03/about

  • @victorvaldez01
    @victorvaldez01 6 років тому

    Hello Husson,
    I'm having troubles when I try to open the library using the function "library(factoshiny)". Is it still availble?

    • @HussonFrancois
      @HussonFrancois  6 років тому

      The package is Factoshiny and not factoshiny

    • @victorvaldez01
      @victorvaldez01 6 років тому

      François Husson, thanks! I'll try that.

  • @safaeita
    @safaeita 6 років тому

    Hello will I be able to add this application to one ive already built ? because i keep getting the error 'can't call 'runApp()' .if the application code contains 'runApp()', please remove it

    • @HussonFrancois
      @HussonFrancois  6 років тому

      You just have to install the package on your computer, then load the package and then use the functions. Maybe if you have already done that, your data set is not well read. Try to read it again.