Hello, I have a question about using extreme value distribution in R.
I have two variables, X and Y, and have pairs of points (X1,Y1),(X2,Y2), (X3,Y3) etc. When I plot X against Y, it looks like the maximum value of Y (for a particular X) is correlated with X. Indeed, when I bin the data by X-value into equally sized bins, and test whether the maximum value of Y for a bin is correlated with the mean X for the bin, there is a significant correlation between max(Y) and X. However, I am not very happy with this because there is not an equal number of data points in each bin. I imagine that there is a better statistical test that I could use, if I could fit an extreme value distribution to the Y data. However, I'm not sure how to do this. I am wondering is there a way to use the extreme value distribution functions in R to test the hypothesis that the maximum of Y (for a particular X) is correlated with X? I would appreciate advice very much. regards Avril Coghlan -- The Wellcome Trust Sanger Institute is operated by Genome Research Limited, a charity registered in England with number 1021457 and a company registered in England with number 2742969, whose registered office is 215 Euston Road, London, NW1 2BE. ______________________________________________ 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.
