Hello List, I have approximately 6390 cases, each with the same three variables (max, start, and sum). I would like to clustering the 6390 cases into groups based on the three variables, and determine p-values for the clusters based on bootstrap re-sampling. I can generate the clusters using the normal hclust procedure, but it does not seem to work with pvclust? The pvclust help indicates that:> For data expressed as /(n, p)/ matrix or data frame, we assume that > the data is /n/ observations of /p/ objects, which are to be clustered.In my case I want /p/ observations of /n /objects, so I have transposed the data, but pvclust seems to get stuck on bootstrap sample size r=0.33. Any help/guidance would be greatly appreciated. I am running R-2.6.0 on Ubuntu Hardy-Heron, using pvclust-1.2-0. Carson