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.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
