Excelent seminar! It helps me a lot, thanks for the time and dedication. Cheers! Note: I couldn't find the 'mshapiro.test' function in the mvtnorm package, maybe it's not available anymore. I fixed it with the 'mshapiro.test' function but from the RVAideMemoire package. It gives the same result, although in the argument the data set goes without transposition.
Your explenations are awesome and u helped me a lot! Could u publish the literature and books which u used for this and the following seminars? I am writing my bachelor thesis and the used literature would help me a lot! Thank u
Great videos Thanks! But I found real life data, especially large sample size (thousands rows) are very hard to meet the normality assumption. What else should I do? Is there a non-parametric alternative to Hotelling T2 test?
I've read that testing for normality is not very useful because for large sample sizes the tests are too sensitive to small deviations, while for small sample sizes they are not powerful enough to detect deviations from normality. Is there a reason why testing for multivariate normality works better?
I'm so amazed about your presentation! Right know I'm doing a research. I would love to contact you! If that suits you and is possible! Thank you very much!
Does this only work when the dependent variables are of the same type? (in this case, attitude). Or can I also use this to compare different dependent variables? And another question: does this analysis only work when there are two groups of equal size?
This is actually very informative. Thank you for the organization and step-by-step approach. You have a gift for teaching.
Your video is really useful,compared with other youtubers! Hope you can make more video about statistics!!!
You are a massive legend! Great job!
Hope we can see other videos, you did an awesome job!
THANK YOU SO MUCH! I wish you a promising life and a rewarding finale
Excelent seminar! It helps me a lot, thanks for the time and dedication. Cheers!
Note: I couldn't find the 'mshapiro.test' function in the mvtnorm package, maybe it's not available anymore. I fixed it with the 'mshapiro.test' function but from the RVAideMemoire package. It gives the same result, although in the argument the data set goes without transposition.
Your explenations are awesome and u helped me a lot! Could u publish the literature and books which u used for this and the following seminars? I am writing my bachelor thesis and the used literature would help me a lot! Thank u
this is great april.. thanks for sharing your knowledge
Thanks so much April! Great and helpful presentation! :)
I found this video very helpful!
Great videos Thanks! But I found real life data, especially large sample size (thousands rows) are very hard to meet the normality assumption.
What else should I do? Is there a non-parametric alternative to Hotelling T2 test?
Hi, thank you for this brilliant presentation. I find it difficult to have access to parts 4 to 10 of your vides on UA-cam ,please assist.
Are the rest of the videos in the series available?
I've read that testing for normality is not very useful because for large sample sizes the tests are too sensitive to small deviations, while for small sample sizes they are not powerful enough to detect deviations from normality. Is there a reason why testing for multivariate normality works better?
I wonder which post hoc technique should follow.
I'm so amazed about your presentation! Right know I'm doing a research. I would love to contact you! If that suits you and is possible!
Thank you very much!
Is there any book to go through.. What you are teaching here.. Would be very useful..
The video is bluerred and I cannot see the support
Otherwise great course with theory and practice. very useful
Thank you
Does this only work when the dependent variables are of the same type? (in this case, attitude). Or can I also use this to compare different dependent variables?
And another question: does this analysis only work when there are two groups of equal size?
The dependent variables can be different and the 2 groups don’t have to be equal size ☺️
Is there a part where i can find about analysis of variance
I am encountering an error message stating object 'attitude.complaints' not found
please help
great. It means you're trying :P
attach(attitude)
It´s ok
Send me the slides kindly
Please can you help me for write master degree