I'm using pairwise.t.test() with 6 groups, but the dataset the 6 groups are in actually contains 24 groups.
When I run the test with all 24 groups the results I'm getting between Group 1 and Group 2 are very different from the results I'm getting between Group 1 and Group 2 when I split off the 6 groups and run the test. When only 6 groups are included the results are highly significant but with all 24 groups the results are insignificant. I'm not adjusting p.values. The code I'm running is: res <- pairwise.t.test(dat$Adopt, dat$Group, p.adj="none") I thought the above code would run exactly the same test on Groups 1 and 2, regardless of how many groups are in the dataset. Can anyone explain what's going on? Thank you, Thomas Chesney This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
