Principal Component Analysis and Factor Analysis in R

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  • Опубликовано: 22 авг 2024

Комментарии • 19

  • @HECDUR2000
    @HECDUR2000 7 лет назад

    I have never thank you, but your videos have made a lot for me. Thanks for publishing your knowledge for free!

  • @econometricsacademy
    @econometricsacademy  3 года назад +3

    The updated R script includes the following changes/additions:
    At 12:28 in the video, line 38 in the R script, the option rotation="none" was added. Previously the results were the same as with the code on line 41, because varimax is the default option.
    At 11:47 in the video, lines 33 and 34 in the R script are now changed to varimax(pca1$loadings) and promax(pca1$loadings) to give the rotations.
    I added at the end of the R script: fa3$scores which gives the scores, the promax rotation, and the KMO Statistics and Barlett's test for sphericity.

  • @testchannel5805
    @testchannel5805 3 года назад +1

    It's the best video on PCA, thank you

  • @Sidraasim941
    @Sidraasim941 8 лет назад

    a lot of thanks for all command and interpretation for my yesterday seminar on multivarite control chats identification out of contol using PC in Mphill.i really appreciated ur future work on statistics

  • @luisa.5800
    @luisa.5800 7 лет назад

    All this videos are very useful. Thank u very much for sharing all ur knowledge.

  • @sudheerrao07
    @sudheerrao07 9 лет назад

    God bless you. I was struggling with a data set and your video helped me get answer. Merci !

  • @underlecht
    @underlecht 3 года назад

    Great work, thank you! Finally I understand what the loading in correlation matrix is. :))). For sure, the best video on this topic.

  • @leocalves
    @leocalves 10 лет назад

    Hi Dr. Ani. Thanks for the video, it is clearly unsderstandable. Also, very thanks for the script that worked perfectly for my data.

  • @shyamumich
    @shyamumich 8 лет назад

    This is very useful. Thank you for taking the time to make these videos.

  • @dhanujaravi5483
    @dhanujaravi5483 5 лет назад

    Tq so much for your wonderful explanation about factor analysis....tq

  • @GeraBizuneh
    @GeraBizuneh 5 лет назад

    Very Helpful ! Thank you so much for sharing !

  • @MMichiganSalveRegina
    @MMichiganSalveRegina 8 лет назад

    This is excellent!! Thanks so much for posting this!

  • @karjanabachar6645
    @karjanabachar6645 3 года назад

    This video is really helpful. Thank you so much ❤️

  • @carlosrenato6017
    @carlosrenato6017 7 лет назад

    Very much thanks for this video.

  • @abbas8646
    @abbas8646 9 лет назад

    Thank you for your great video

  • @inspiringecology566
    @inspiringecology566 5 лет назад

    Amazing video thank you.

  • @mohitpandey585
    @mohitpandey585 6 лет назад

    Thanks a lot it was really helpful.

  • @MrEcees
    @MrEcees 4 года назад

    well explained

  • @tarac9
    @tarac9 4 года назад

    Very helpful - thank you!!