How can I perform an analysis of variance with a set of repeated measures?

I have a set of data where each row is a different subject and each column is a different test done on each subject. I would like to perform an analysis of variance to compare the means for each test. I am not sure if I should use either "ranova" or "manova" analysis. Which is more relevant to my case?

Answer 1

[MathWorks Support Team]

The analysis is trying to investigate the differences in mean scores under three or more different conditions on the same subjects. Hence, the most relevant analysis would be a repeated measures ANOVA. In MATLAB, this can be done using the "ranova", which allows having just a constant term such that there are no other between-subject predictors. For example:

>> f = fitrm(tCE20,'test_1-test_N~1')

>> tbl = ranova(f)

The regular "manova1" function would not be helpful if there is just one row per group, because we have no way to measure within-group variance.