On Mon, Jun 13, 2011 at 6:47 PM, Aparna <aparna.sampat...@gmail.com> wrote: > Hi Joshua > > While looking at the data, all the values seem to be in numeric. As i > mentioned, > the dataset is already in data.frame. > > As suggested, I used str(mydata) and got the following result: > > > str(leu_cluster1) > 'data.frame': 984 obs. of 100 variables: > $ V2 : Factor w/ 986 levels "-0.00257361",..: 543 116 252 54 520 ...
your data columns are not numeric but factors indeed. you may try this one a <- as.character(rnorm(100)) # some numeric data adf <- data.frame(matrix(a,10)) # which are misinterpreted as factors adf adf[,1] class(adf[,1]) # check for the class of the first column sapply(adf,function(x)class(x)) # check classes for all columns b <- sapply(adf,function(x)as.numeric(as.character(x))) # as.character: use levels literally, as.numeric: transforms in numbers b # look at b class(b) # which is now a numeric matrix best regards PF -- +----------------------------------------------------------------------- | Patrizio Frederic, | http://www.economia.unimore.it/frederic_patrizio/ +----------------------------------------------------------------------- ______________________________________________ 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.
