Hello there, Here's a question regarding p-values on clusters produced by hierarchical cluster analysis. A web search led me to the program pvclust to tackle this problem. But when I run the problem I get strange results. The 'AU' (approximately unbiased) p-values are very different from the 'BP' values (ordinary boot-strap) p-values. The AUs commonly are in the 80-100 range where the BPs are in the 0-10 range! One clue as to what might be happening is a warning from R: "inappropriate distance matrices are omitted in computation" for different r values. Perhaps my data is not really well suited for this analysis? I have presence-absence (0,1) data of 32 species in 60 different locations. It is noticeable that the difference between AU and BP is not as bad when I try to cluster by species, as when I try to cluster by location. Any comments on this issue would be very much appreciated. Are there any other programs that might be able to produce similar results? Should I try to run the bootstrap analysis myself in R, and is there a good introductory test to tell me how to do this? With thanks and best wishes, Eben Eben Goodale NSF International Postdoctoral Fellow University of Colombo, Sri Lanka eben.goodale@gmail.com [[alternative HTML version deleted]]