Hi, If the question is to remove the duplicates/repeated in each row from the example "data", then
dat2<-data[apply(data,1,function(x) all(!duplicated(x)|duplicated(x,fromLast=TRUE))),] head(dat2) # id a b c d e #6 6 9 5 10 1 7 #8 8 5 2 6 7 4 #11 11 6 4 9 8 5 #12 12 7 1 8 9 10 #15 15 1 9 8 4 7 #16 16 6 1 3 7 10 A.K. ----- Original Message ----- From: "d...@riseup.net" <d...@riseup.net> To: r-help@r-project.org Cc: Sent: Sunday, November 11, 2012 2:06 PM Subject: [R] biasing conditional sample Hi all, I'm looking for some help to bias the sample function. Basically, I'd like to generate a data frame where the first column is completely random, the second, however, is conditional do the first, the third is conditional to the first and the second and so on. By conditional I mean that I shouldn't have repeated values in the line. I know it could be easily implemented using permutation, but it is not the case here. I need at least five columns. Any idea to achieve what do I need? set.seed(51) data <- data.frame( id=as.factor(1:100), a=as.factor(sample(1:10, size=100, replace=TRUE)), b=as.factor(sample(1:10, size=100, replace=TRUE)), c=as.factor(sample(1:10, size=100, replace=TRUE)), d=as.factor(sample(1:10, size=100, replace=TRUE)), e=as.factor(sample(1:10, size=100, replace=TRUE)) ) ______________________________________________ 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. ______________________________________________ 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.
