Correspondence Analysis (part 1/5): Introduction

Поделиться
HTML-код
  • Опубликовано: 21 авг 2024

Комментарии • 11

  • @NiireNolweva
    @NiireNolweva 3 года назад +1

    Really well explained - both in strict definitions and in intuition through examples. Thank you very much for this video.

  • @Toto8opus
    @Toto8opus 4 года назад

    I've been a little confused by the use of _f_ to express the probabilities whereas it usually serves to indicate the _frequencies_ , that is, the raw number of observations. Other than that, it's crystal clear.

  • @lulopani4792
    @lulopani4792 Год назад

    Thank you, great explanations.

  • @alaacheaib4702
    @alaacheaib4702 4 года назад

    Really enjoyed this video. so smooth

  • @isissilva1940
    @isissilva1940 7 лет назад +2

    thank you! this was very enlightening!

  • @tetlleyplus
    @tetlleyplus 6 лет назад

    great video, very well explained as well as comprehensive!

  • @alejead9542
    @alejead9542 6 лет назад

    es una excelente explicacion... muchas gracias...

  • @ronex6211
    @ronex6211 10 месяцев назад

    bad man

  • @SaurabhGupta-id4tw
    @SaurabhGupta-id4tw 6 лет назад

    Thanks this is very good indeed!

  • @baraashahror3920
    @baraashahror3920 6 лет назад

    Thanks for video ..please
    I want a book that explains the work of analyzing correspondence as a classic method

  • @maxsuliga577
    @maxsuliga577 3 года назад

    Does anyone know if and where row and column factors are explained? I feel like I have an idea about Correspondence Analysis (especially after watching the videos here), but I am asked to write an assignment on row and column factors specifically, so any kind of source explaining it well would be of great help!