On Thu, Aug 2, 2012 at 3:47 PM, danobolg321 <danobolg...@gmail.com> wrote: > This is a fairly entry level question - so any guidance on this would be > appreciated... > > I have two sets of residuals, one of 100 values (A), and one of 10,000 > values (B). There are 50 paired sets of these values. The data is in the > form of two matrices (100x50 and 10,000x50). > > The goal is to correlate the residuals from A and B, to identify a those B > values that go up when a single A value goes up, and so on. > > Is there a specific package that is well set up for this?
I'm afraid I'm not quite sure what you're looking for -- what do you mean to "correlate" the residuals? A random guess suggests that some combination of findInterval() and sort() might get what you need -- also perhaps cut() or quantile() -- but a small reproducible example would be really helpful here. This page gives some good advice on how to craft one: http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example Best, Michael > > Thanks for your help. > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Correlating-different-sets-of-variables-tp4638951.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
