The reviewers are right. But this is not an R question at all. Post on a statistics list like stats.stackexchange.com.
Much better yet, consult a local statistician, as it is abundantly clear that you have insufficient statistical background to properly analyze your data. Cheers, Bert On Fri, Jun 1, 2012 at 10:15 AM, Justin Montemarano <jmont...@kent.edu> wrote: > Hi all: > > There was a concern raised by reviewers of a manuscript of mine over the > proper execution of a Pearson's correlation. In brief, this was undertaken > in order to determine the relationship between the extent of wheel running > (y axis) and ethanol intake (x axis) across three, separate 10 day periods > in 7 animals. > > In the paper, the correlational plots for each 10 day-period had 70 data > points: One point for each day and each animal across 10 days of > experimentation. The reviewers, however, appropriately pointed out that > this is a violation of the assumption of sample independence for Pearson's > test, and I should have had only 7 points, which would reflect the means of > my two variables for each individual animal across 10 days. Is this > appropriate or is there a means of accounting for repeated sampling with a > correlation test? > > - > Justin Montemarano > Graduate Student > Kent State University - Biological Sciences > > http://www.montegraphia.com > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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.