Two-Way ANOVA with R - Analysis of Variance
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- Опубликовано: 9 сен 2024
- R code: statdoe.com/tw...
Welcome to the series of tutorials on Two-way ANOVA with R.
In this series of videos, we are going to perform a complete analysis of a two-factor factorial design.
We are going to cover the following steps :
Video tutorial 1 ( • Two-Way ANOVA with R -... ):
- build a simple plot for data visualisation;
- perform the analysis of variance;
Video tutorial 2:
- create a table with the mean and standard deviation of each treatment;
- compare the means by Tukey’s test;
- use the compact letter display to indicate significant differences;
Video tutorial 3 ( • Publication-Quality Ba... ):
- build a high-quality publication-grade bar plot,
Video tutorial 4 ( • Publication-Quality Ba... ):
- build a high-quality publication-grade scatter plot.
Packages: ggplot2, multcompView, dplyr
Main functions: aov, TukeyHSD, qplot, group_by, summarise, multcompLetters4 .
www.statdoe.com
Wow, amazing tutorial
Thank you!!!!
thank you prof rosa. the content is very interesting and the presentation is masterful! good continuation
Glad you liked it!
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
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 ?
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.
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.
@@RosaneRech Thank you very much
Can anyone pls. tell me what is the name of this program and how can i download it?
bro snhush
👀