I would like to estimate the difference between two measurement techniques. With both techniques, 4 measurements were obtained in each of 15 individuals. (These are not *repeated* measurements though - each of the 4 is of a different attribute). The naive approach would be a paired t-test, but of course this assumes that the 4 measures contributed by each individual are not dependent (which they are), and would inflate the CI of the differences.
I found t.test.cluster {Hmisc}, but this works for the 2-sample problem only as far as I understand... Could someone please point me in the right direction? Many thanks! Paul -- View this message in context: http://www.nabble.com/one-sample-t-test-with-correlated-%28clustered%29-observations-tp21875193p21875193.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.