Great video! One question I have is that I commonly see people use lme4 to run repeated measures but they only include the subject factor for the random factor (lmer(resp ~ time + (1|subject))) while you use subject/time as the random factor when using aov(). Why is this the case? Personally both methods give me identical results.
When I use this method I get an insignificant p value = 0.89 but when I do a paired t-test it is significant p value = 0.017. What could I be doing wrong or am I trying to do a completely different test?
You can download R-script (codes) from the link given in description of this video. Open the link and in this blog post you will find link to download R-script at the end.
You are my hero. I was unable to figure out how to do this, and now i got it working! Thanks so much!!
You are most welcome
Great video
Thanks for your support
Great help, thanks
Thanks for your support
Very good content
Thanks for your support
Great video! One question I have is that I commonly see people use lme4 to run repeated measures but they only include the subject factor for the random factor (lmer(resp ~ time + (1|subject))) while you use subject/time as the random factor when using aov(). Why is this the case? Personally both methods give me identical results.
I would love to hear the answer to this!!
Well explained. Thank you
Please how do I get the data file? No more available
Can I directly perform pairwise.t.test for RM-ANOVA? I don't see the nessesarity of performing ANOVA first.
how did you add the Error part exactly? when i type +Error inside aov function i get an error.
When I use this method I get an insignificant p value = 0.89 but when I do a paired t-test it is significant p value = 0.017. What could I be doing wrong or am I trying to do a completely different test?
I have phenotyping data for one trait over three years 2016,2017 and 2019. without replication, how should analyze this? Please let me know
Did you use same subjects each?
Shouldn't the final pairwise t test be paired?
I had exactly the same remark here
paired= TRUE
Should have been given
Yes you are right. I think in script which is available for download the correction has been made.
We need to know a Multivariate analysis in R statistical analysis
I shall work on these aspects soon.
Would you please put the codes too which will be very helpful and time-saving.
You can download R-script (codes) from the link given in description of this video. Open the link and in this blog post you will find link to download R-script at the end.