How To... Check for Normal Distribution in R #82

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  • Опубліковано 9 лип 2024
  • Learn how to deal check if your data variables are normally distributed using boxplot, histograms, and the Shapiro-Wilk Test in R with‪@EugeneOLoughlin‬.
    The R script (82_How_To_Code.R), data file (82_How_To_Code.csv) for this video are available to download from Github at:
    github.com/eoloughlin/How-To-...

КОМЕНТАРІ • 6

  • @henrimutti7945
    @henrimutti7945 Рік тому +2

    HI Eugene, just a quick message to thank you for these great videos. They are clear, well ordered, well built and nicely presented. Honestly, this is so much clearer than notes that can be given by universities... Thanks a lot!

  • @paulafromlodz
    @paulafromlodz Рік тому

    Thank you Eugene. You make everything so clear in your tutorials. It is a pleasure to listen to you. Keep going :)

  • @rickmont74
    @rickmont74 Рік тому

    Very useful indeed!

  • @wholegirma1220
    @wholegirma1220 Рік тому

    Thank you sir!

  • @praiseokonkwo5297
    @praiseokonkwo5297 3 роки тому

    It would be nice if you can make another video to clearly show when you set the alpha value to 0.05, and also test with 0.01.

  • @ngdiaz528
    @ngdiaz528 Рік тому

    Hello, I test with this line tapply(SUP_ESTRES, TRATA, shapiro.test) and the result it gives me is Error in FUN(X[[i]], ...) : all 'x' values are identical, What can be? PLEASE HELP!!
    Greetings from Ecuador