ANOVA in R: a complete example
ฝัง
- เผยแพร่เมื่อ 15 ต.ค. 2024
- A complete example of ANOVA using R, including verification of assumptions and post-hoc testing. All the good stuff!
If this vid helps you, please help me a tiny bit by mashing that 'like' button. For more #rstats joy, crush that 'subscribe' button!
You can find materials from this vid (and others) at github.com/equitable-equations/youtube.
One thing I like about your videos is that you not only explain how to do 'something' in R, you also explain that 'something' in general. For e.g. in this video, I learned 'what is ANOVA' and 'how to do ANOVA in R' at the same time. Thanks a lot!
You are simply the best of the best.
I love you in the good sense of the world.
I would like to wholeheartedly praise your endless commitment towards the community.
God bless you my dear pal.
Thanks so much!!
I really appreciate how concise your videos are. No useless info at all. All the necessary info in less than 10 mins.
Thanks!
yes I love it thank you professor!
I just do not know why you do not get enough views and likes as well as comments when you are such a helpful and wonderful teacher. I really want you to get what you deserve.
Really helpful step by step explanation. Definitely subscribing!
I have a suggestion. Please go deeper into the description in future videos. We students also need to understand, for example, in this video, what that number of DF means. Or other variables.
I think if you hit this point, dizzy students will find you at the end.
Very concise and to the point. Really appreciate the effort.
great explaination, thank You!!
I have checked these assumptions. My data is neither normally distributed nor variances are small. Please also make video on non-parametric tests.
Yes for sure! A lot of times these issues can be resolved with a log (or square root) transform of the response variable.
@@EquitableEquations Log transformation resolved the issue. Thank you for your feedback.
Could you please do more on two-way and repeated ANOVA tutorials? Thanks.
This is on my to-do list for sure!
great tutorial , can you please make a video explain what are these statistics in this video mean
Hoe do you run an Anova with multiply imputed data (mice)? Because if I try to do so in R, I only get error messages. Even with the mi:anova function. Thank you :)
How can i save the result of summary(model) as a table?
Hi! I recommend broom::tidy. I talk about that package here:
th-cam.com/video/Oy1_A_ZhCY0/w-d-xo.html
Diagnostics well visualised.
Thank you!
You’re so welcome!
Why Tukey?
It is when we want to find out the means by which one of the 3 groups is different. By running Anova we only find out to reject the H0 but did not know which one is different.