search for: dissim

Hi, How do you get the most common row from a matrix? If I have a matrix like this array(1:3,dim=c(4,5)) [,1] [,2] [,3] [,4] [,5] [1,] 1 2 3 1 2 [2,] 2 3 1 2 3 [3,] 3 1 2 3 1 [4,] 1 2 3 1 2 in which rows 1 and 4 are similar, I want to find that vector c (1,2,3,1,2). Atte Tenkanen University of Turku, Finland

...cond try to post this to the R-help mailing list. The first one has been rejected because of a too large attachment. Now I ask this without attaching the data. If you want to reproduce the results, please contact me directly to get the data. (First mail, rejected:) > Attached there is a 149*149 dissimilarity matrix; it is a file obtained by > save(dm,file="dissim.Rsav"). OK, here is my question: I worry about the reproducability of the results of isoMDS. I try > set.seed(5678) > mdslinux <- isoMDS(dm,k=4) initial value 31.071976 final value 31.071976 converged &gt...

Hello, We are trying to find a function to compute "stress" in our multidimensional scaling analysis of a dissimilarity matrix. We've used "dist()" to create the matrix and "cmdscale()" for the scaling. In order to determine the number of dimensions we would like to plot stress vs. dimensions. However, we cannot find a pre-made command. It seems that other programs may test stress as p...

I'm trying to plot a dendrogram object which is created using "as.dendogram" function. It works fine however I can not change the yaxis limits of the plot. tree<-as.dendrogram(hclust(as.dist(dissim),method="single")) plot(tree,ylim=range(0,20)) Error in plot.default(0, xlim = xlim, ylim = ylim, type = "n", xlab = xlab, : formal argument "ylim" matched by multiple actual arguments This is imporatant for getting a consistant scale for different...

Hello, I have a self-defined function to be computed on each column in a matrix. The basic idea is to ignore the elements that have value of 0 during computation. I should be able to write my own function but it could be computational expensive, so I'd love to ask if anyone may have suggestions on how to implement it more efficiently. Thanks in advance. For example, there are three