Hi, I'm trying to setup some complicated binning with statistics and could use a little help.
I've found the bin2 function from the ash package, but it doesn't do everything I need. My intention is to copy some of their code and then modify as needed. I have a vector of two columns: head(data) r1 r2 [1,] 0.03516559 0.03102128 [2,] 0.02162539 0.14847034 [3,] 0.02210339 0.06539623 [4,] -0.07547792 -0.08859678 [5,] 0.03655620 0.05412436 [6,] 0.06513828 0.06053050 I'd like to create a 2 dimension list of bins with the frequency counts for each bin. The bin2 function does this. Then it gets interesting. I'd like to add a column to my vector that has the "bin label" for the bin that row would belong to. (I can see how to do this with lots of nasty loops and greater-than, less-than calculations, but that gets messy.) There must be an easier way. So, If I made 10 bins for each column (r1,r2), I'd have 100 bins. (bin1, bin2, bin3, etc.) I want to label each ROW in my data set with the bin it would belong to. (I intend to do more work with them after this, but this starts. Each row gets transformed depending on the bin it belongs to, etc..) Thanks, -N ______________________________________________ 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.