Hi, I need to convert a ranking dataset (actually, it is an ipsative scale) to paired-comparisons.
For example, if I have this data: x <- matrix(c(10,20,30,40,0, 10,10,10,10,50, 30,30,30,5,5), nrow=3, ncol=5, byrow=TRUE, dimnames = list(1:3, letters[1:5]) ) For every pair of data, I would need to apply a transformation like: if a < b, ab = 0, otherwise ab=1 In the end, I need a matrix like that: ab ac ad ae bc bd be cd ce de 0 0 0 1 0 0 1 0 1 1 1 1 1 0 1 1 0 1 0 0 1 1 1 1 1 1 1 1 1 1 Would anyone suggest a "no loops" way for doing that? By the way, I would need to apply a tetrachoric correlation to this output matrix. Should I use package polycor? Any thoughts would be welcome. Thanks, Iuri. ______________________________________________ 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.