Hi,
if you look at the first image (Image1) you see that there are 2 main clusters 7 and 8 I wanted to use pvclust to calculate a p-value whether these clusters are due to chance or statistically significant. Unfortunately pvclust does not provide a p-value for the first brunch (7 and 8). So I added a row to my matrix which is very different to the rest of the data to create an additional brunch. See image 2. I finally got my p-value for the brunch (7 and 8) which is 98 (9). I was happy to see that the p-value was significant until I realised that if I add an additional brunch which is not that different from the rest but still cluster in a sperate cluster (see image 3) the p-value is changing and not significant any longer (84). http://r.789695.n4.nabble.com/file/n2319739/ImageNew2.png I was wondering why this happens because I thought that for each brunch the p-value is calculated independently? Does anybody know how to get a correct p-value for the first brunch (7 and 8) maybe without adding an additional brunch? Best regards syrvn -- View this message in context: http://r.789695.n4.nabble.com/p-values-with-pvclust-tp2319739p2319739.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.
