On Tue, Aug 28, 2012 at 9:01 PM, Yi <liuyi.fe...@gmail.com> wrote: > Dear all, > > Suppose my data frame is as follows: > > id price distance > 1 2 4 > 1 3 5 > ... > 2 4 8 > 2 5 9 > ... > n 3 7 > n 8 9 > > I would like to calculate the rank-order correlation between price and > distance for each id. > > cor(price,distance,method = "spearman") calculate a correlation for all. > > Then I tried to use > apply(data,list='id',cor(price , distance , method = "spearman")) > to >
You seem to have been cut off mid-thought, but I'm guessing you want something more like: tapply(data, data$id, function(x), cor(x$price, x$distance, method = "spearman")) Cheers, Michael > [[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. ______________________________________________ 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.
