Hi, the actual thread on "multiple assignments ?" made up an interesting point for me. If I have a matrix with g rows and x + y columns where columns 1 - x contain values of group1 and columns x+1 to y contain the values of group2. Now I want to compute a vector of length g that holds the p-value (e.g. via a t-test) calculated for the appropriate row in the matrix.
At the moment I am doing something like this: # code might be wrong. Should just give the idea. p = rep(-1, g) for( i in 1: g) p[i] = t.test(values[i, c(1:x)], values[i, c(x +1: x+y)] I am now wondering if there is a faster (maybe also more elegant) way to do this, e.g. using something like lapply or such? Best, Cedric ______________________________________________ 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.
