search for: leeonweb

Hi All, I have got matrix 'data' of dimension 22000x600. I want to make 50 independent samples of dimension 22000x300 from the original matrix 'data'. And then want to calculate pearsons CC for each of the obtained 50 matrices. It seems it is possible to do this using 'boot' function from library boot but I am not able to figure out how? I am really stuck. Please help!

Hi! All, I have 2 correlation matrices of 4000x4000 both with same row names and column names say cor1 and cor2. I have extracted some information from 1st matrix cor1 which is something like this: rowname colname cor1_value a b 0.8 b a 0.8 c f 0.62 d k 0.59 - - -- -

Dear All, I have a correlation matrix say 'M' (4000x4000) for 4000 genes and I want to subset it to 'N' (190x190) for 190 genes. The list of those 190 genes are in variable 't'. So the idea is to read the names of genes from variable 't' and subset the matrix M accordingly. Any thoughts are welcome! Best Lee [[alternative HTML version deleted]]

Hi! All, I am working on a correlation matrix of 4217x4217 named 'cor_expN'. I wish to obtain pairs with highest correlation values. So, I did this > b=matrix(data=NA,nrow=4217,ncol=1) > rownames(b)=rownames(cor_expN) > for(i in 1:4217){b[i,]=max(cor_expN[i,])} > head(b) [,1] aaeA_b3241_14 0.7181912 aaeB_b3240_15 0.7513084 aaeR_b3243_15 0.7681684

Hello! All, I am working on 10000x1000 matrix say 'mat' and i want to subset this matrix in a fashion that in new matrix i get columns 2,3,9,10,16,17,23,24.......so on. That is pair of columns after every interval of 7. I tried following but i got an error which is obvious. >dim(mat) [1] 10000 10 >a=mat[,c(seq(c(2,3),ncol(mat),7))] Warning messages: 1: In if (n < 0L)