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 <dfife@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?
>
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>
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