Two-Way ANOVA with R - Analysis of Variance

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  • Опубліковано 15 гру 2024

КОМЕНТАРІ • 13

  • @bkarim7349
    @bkarim7349 3 роки тому +2

    thank you prof rosa. the content is very interesting and the presentation is masterful! good continuation

  • @metadeltsegaye0876
    @metadeltsegaye0876 Рік тому +1

    Wow, amazing tutorial

  • @YnymRyugu
    @YnymRyugu 26 днів тому

    can someone help me cause i cant plot like in the video even i do the exact same thing. the code shows "error in plot... object 'Temp' not found"

  • @rainbow-bh7rg
    @rainbow-bh7rg 2 роки тому

    Can anyone pls. tell me what is the name of this program and how can i download it?

  • @noor-ul-ain386
    @noor-ul-ain386 3 роки тому

    Hello dear Rosane, I have just watched your videos, you teach incredibly, what if I want to plot values of three factors. I would facet one factor and two factors on the x-axis. how can i code this ?

  • @Xian-ge5bu
    @Xian-ge5bu 7 місяців тому

    I ended up with a different ANOVA table below. Can someone tell me where I made a mistake in my R code?
    Df Sum Sq Mean Sq F value Pr(>F)
    Glass 2 267 133 0.888 0.429
    Temp_Factor 2 3141469 1570734 10450.918

  • @iot3136
    @iot3136 3 роки тому

    Hi Rosane. Thank you for this. By the way could you explain how to do a Four way ANOVA? Examples are only available for 2 or 3 way anova only. It’s rarely explained how to perform 4 way anova or more factors. Would be really greatful to you.

    • @RosaneRech
      @RosaneRech  3 роки тому +1

      Hello IOT. The four-factor experiments usually fall into a 2ˆk designs, where we test only two levels of each design factor. In this case, a complete replicate involves 16 runs, which is already a pretty large design. In this cases, it is also possible to run only a single-replicate of the design.
      There are several aspects and considerations involved on how to properly analyse large designs. I can do some videos on it, but for these more advanced analysis I strongly suggest you to take a full course to understand them.
      In the course "Design and Analysis of Experiments", I cover two-level four-factor designs, the idea behind single-replicates designs, designs in blocks (usually large designs are hard to run in homogeneous conditions), and fractionated designs.
      You can try it, and you have 30-day money back guarantee if you don't like the content.
      link with the current promotion: www.udemy.com/course/design-of-experiments-i/?couponCode=DOE_MAY2021
      Best, Rosane.

    • @iot3136
      @iot3136 3 роки тому

      @@RosaneRech Thank you very much

  • @Jacobrasmu
    @Jacobrasmu Рік тому

    bro snhush