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.
