That's perfect. Thanks!
On Fri, Sep 6, 2013 at 12:45 AM, Pascal Oettli <kri...@ymail.com> wrote: > Hello, > > Using a web search engine, I found, for example: > > http://www.unt.edu/benchmarks/archives/2003/february03/rss.htm > > http://sas-and-r.blogspot.jp/2012_09_01_archive.html > > Hope this helps, > Pascal > > > > 2013/9/5 Dustin Fife <df...@ou.edu> > >> I've been working on a way to visualize a spearman correlation. That >> seemed >> pretty simple: >> >> #### generate skewed data >> x = rnorm(100)^2 >> y = .6*x + rnorm(100, 0, sqrt(1-.6^2)) >> >> plot(x,y) #### regular plot >> >> plot(rank(x),rank(y), xaxt="n", yaxt="n") ### spearman-like plot >> >> #### make axis labels >> axis(1, at=quantile(rank(x)), labels=round(quantile(x), digits=2)) >> axis(2, at=quantile(rank(y)), labels=round(quantile(y), digits=2)) >> >> However, transforming the data into ranks eliminates any information we >> have about the distributions of the data. My solution to this problem is >> to >> plot the densities outside the x/y axis with the mode of the distribution >> pointing away from the plot. I've seen plots like this in textbooks, but >> can't think of a way to do this in R. >> >> Any ideas? >> >> [[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. >> > > [[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.
