Doing a t-test using R programming (in 4 minutes)

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  • Опубліковано 26 вер 2024

КОМЕНТАРІ • 26

  • @RProgramming101
    @RProgramming101  Рік тому +1

    Get my FREE cheat sheets for R programming and statistics (including transcripts of these lessons) here: www.learnmore365.com/courses/rprogramming-resource-library

    • @raghavkhandelwal7555
      @raghavkhandelwal7555 4 місяці тому

      Hello sir, Sir can you please recommend me a good UA-cam channel from Where I can learn Python from Basics to advance level

  • @71Deba
    @71Deba Рік тому +1

    Excellent explanation, Greg. Love your simple and precise approach.

  • @draprincesa01
    @draprincesa01 2 роки тому +1

    Exactly what I need to do tomorrow in my dataset thanks!!!! like always u r the best !!!!!

  • @javiermonroy4616
    @javiermonroy4616 2 роки тому +1

    Excellent video! I really love this channel. It would be so great if you could do some time series videos in the future.

    • @RProgramming101
      @RProgramming101  2 роки тому

      That's a great idea! Thanks for your feedback!

  • @adamacoulibaly812
    @adamacoulibaly812 2 роки тому +1

    Many thanks, Prof for this Excellent video! But I am referring to your previous video on ''t-test, anova and chi-square' to do the ANOVA of my research. I am now facing 2 issues: 1- I really understand the results because it missing the p-value, 2- I am having error message for the TukeyHSD. Bassically, I want to perform the ANOVA for the mean values for three years (i.e., 2017, 2018 and 2020).
    here is the command I run
    "abcanova %>%
    aov(formula = gprice ~ year , data =.) %>%
    TukeyHSD()"
    here is the error message
    "> abcanova %>%
    + aov(formula = gprice ~ year , data =.) %>%
    + TukeyHSD()
    Error in TukeyHSD.aov(.) : no factors in the fitted model
    In addition: Warning message:
    In replications(paste("~", xx), data = mf) : non-factors ignored: year"
    I can share the data if necessary
    I need your help thank you

  • @TchantchouCamus
    @TchantchouCamus Рік тому +1

    really excellent video.
    please how do you perform a paired t. test when the data is not the same length?

  • @Malihaezad
    @Malihaezad Рік тому

    Could you please talk about performing a paired t-test when the data is in wide format i.e. the intervention values are in one column and post-intervention in another?

  • @abeergaber6374
    @abeergaber6374 17 днів тому

    I am very grateful for your effort you make everything easy peasy lemon squeezy as you say 🤣🤣🤣🤣🤣thank you very much

  • @rafi5358
    @rafi5358 Місяць тому

    0:43 fav part

    • @RProgramming101
      @RProgramming101  27 днів тому +1

      ah - thanks for letting me know.. I didn't know that people had favorite parts.

  • @pipertripp
    @pipertripp 2 роки тому +1

    Greg, have used the tiny model infer package for hypothesis testing?

    • @gregmartin
      @gregmartin 2 роки тому

      I've never used it - I'll check it out

    • @pipertripp
      @pipertripp 2 роки тому

      @@gregmartin I think you might like it. It's basically a "grammar of hypothesis testing" that fits in well with other aspects of the tidyverse.

  • @jtotherock7244
    @jtotherock7244 Рік тому

    Hi Do you have videos on One Sample Hypothesis T-Test on a Proportion?

  • @romanvasiura6705
    @romanvasiura6705 Рік тому

    Thank you!

  • @michaelayeni177
    @michaelayeni177 Рік тому

    Perfect!

  • @mugomuiruri2313
    @mugomuiruri2313 2 роки тому +1

    Got u from kenya

    • @gregmartin
      @gregmartin 2 роки тому +1

      H iMugo - say hello to others in Kenya (lovely country - I've been a few times)

    • @mugomuiruri2313
      @mugomuiruri2313 2 роки тому

      @@gregmartin Your teaching are clear and simplified .

  • @peterschmitt9802
    @peterschmitt9802 2 роки тому

    I found that two.sided had to be quoted

    • @gregmartin
      @gregmartin 2 роки тому

      Thanks peter - you may be right (could be an error in the video - sorry)

  • @mugomuiruri2313
    @mugomuiruri2313 9 місяців тому

    good