Dear all,
This is something for the combinatorics freaks amongst you (which I am certainly not :-). I do the following problem to solve and was wondering if this can be easily done using R: I have a set of, let's say, 10 variables: n(varibale) = 10 e.g. var <- c(a,b,c,d,e,f,g,h,i,j) per experiment, I want to pick 4 variables e.g. exp1 <- c(a,b,c,d), exp2 <- c(e,f,g,h), ... each variable should be present in 4 different experiments each varibale may co-occur in max. 2 experiments with another variable Questions: 1) What is the number of minimal experiments that all of the above prerequisites are met? 2) Report a list of the combinations It would be great to have a script that is flexible for all prerequisites. Thanks a lot already in advance! Nina The Radboud University Medical Centre is listed in the Commercial Register of the Chamber of Commerce under file number 41055629. [[alternative HTML version deleted]] ______________________________________________ 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.