Dear R users, I am new to R and looking into using a Friedman test in R with post-hoc analysis for a time series datset in which I am looking at changes in multiple features over three time points in a number of individuals. As well as detecting if there is an overall difference in features between the three time points I want to determine which features change significantly and between which time points. I therefore need to perform a post-hoc test such as the wilcoxon signed-rank test. I am having trouble formatting my data and performing the formula: friedman.test (y~A|B) I think that y should be the feature measurements, A should be the time points and B the subject. The data look something like this.. subject timepoint feature1 feature2 feature3 feature4 .. 1 1 26 32 43 45 1 2 45 63 3 87 1 3 23 22 4 94 2 1 76 44 79 79 2 2 56 56 8 76 2 3 87 23 7 67 etc My question is how I could read this table into R in a format that would allow the above test to be performed? Also is there any way I can perform post-hoc wilcoxon signed rank tests to determine which features are different and between which time points? Thanks very much in advance for any help you can offer! -- View this message in context: http://r.789695.n4.nabble.com/Friedman-test-in-R-tp4660441.html Sent from the R help mailing list archive at Nabble.com.