richard mendes wrote: > Hello R list members, > > I'm a bio informatics student from the Leiden university > (netherlands). We were asked to make a program with different > clustering methods. The problem we are experiencing is the following. > > we have a matrix with data like the following > > research1 research2 research3 enz > sample1 0.5 0.2 0.4 > > sample2 0.4 0.4 0.3 > > sample3 0.7 0.2 0.8 > > enz > > > now if we use kmeans(matrix,3,20) the clustering method will cluster > only on rows by using the columns values as multiple variables. The > output from this syntax is for example > > sample1 = 1 > sample2 = 2 > sample3 = 3 > enz > > Is there a method that will use the rows and columns as seperate > values so that every variable in the matrix will be assigned to a > cluster instead of a row. > > the output then could be interperted as a heatmap. > > thank you in advance for your time, > > Richard Mendes > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > You mean something like:? kmeans(dataMatrix,5) ## clustering by rows kmeans(t(dataMatrix),5) ## clustering by attribute
HTH, Andrej ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html