ss wrote: > Hi all, > > I have a matrix called 'data', which looks like: > > >> data[1:4,1:4] >> > Probe_ID Gene_Symbol M1601 M1602 > 1 A_23_P105862 13CDNA73 -1.6 0.16 > 2 A_23_P76435 15E1.2 0.18 0.59 > 3 A_24_P402115 15E1.2 1.63 -0.62 > 4 A_32_P227764 15E1.2 -0.76 -0.42 > >> dim(data) >> > [1] 23963 85 > > What I want to do is to make a new matrix called 'data2', which would be > transformed > by subtracting the mean of each row from matrix 'data'. There are some 'NA's > in the > matrix and I do want to keep it. > > I tried to take 'mean's from each row first by using: > > a<- rowMeans(data[,3:85],na.rm = FALSE) > > but I got: > > >> a<- rowMeans(data[,3:85],na.rm = FALSE) >> > Error in rowMeans(data[, 3:85], na.rm = FALSE) : 'x' must be numeric > > sure, at least the first two columns are not numeric
> Can anybody suggest me how to get around this? > > you can compute row means based on only those columns which are numeric as follows: a = rowMeans(data[sapply(data, is.numeric)]) what you do with NAs is another story. vQ ______________________________________________ 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.
