search for: pairewise

--- Dimitris Rizopoulos <dimitris.rizopoulos at med.kuleuven.ac.be> wrote: > you could try something like this: > > dat <- array(sample(24), dim=c(4,2,3)) > par(mfrow=c(3,1)) > apply(dat, 3, function(x) plot(rowSums(x), > x[,2]-x[,1])) ## Thank you all for the inputs. It's great of help. The above solution also opens my mind that I could convert my data to an

Dear R-users Can anyone inform me of a library or more specifically functions that can maximise (or calculate) a Pairwsie likelihood from a data. Better still, i would like to know if there is a function (library) that fits regression models based on pairwise likelihoods. Thanks Pryseley --------------------------------- [[alternative HTML version deleted]]

Dear R users, I have a data generated as the following, dat <- data.frame(matrix(sample(24), nrow=4)) dimnames(dat) <-list(rownames=c('g1','g2','g3','g4'), colnames=c("A_CH1","A_CH2","B_CH1","B_CH2","C_CH3","C_CH3")) » dat A_CH1 A_CH2 B_CH1 B_CH2 C_CH3 C_CH3 g1 16 24 7 9 14