Have you tried plotting log(y) vs log(x)? albyn
On Wed, Dec 21, 2011 at 02:18:56PM +0000, Matthew Gwynne wrote: > Hi, > > Are there any special statistical tests, or functions in R I could use > to measure "cone-like" distributions? > > I have several data-sets, which I've been plotting parts of as 2D > plots, where I get a "cone-like" distribution of the data points. > That is, the data appears to be bounded by two non-parallel lines, > starting at the origin, giving rise to a "cone-like" appearance. > > I guess I could work out it's bounding lines fairly easily, but this > seems perhaps a fairly naive thing to do, and I was wondering if there > are any standard tests to do? I guess one might consider the angle of > the cone, how much of the "cone" is filled out, density of points > within the cone and so on. > > I don't even know if thinking of a "cone" makes any sense, what it > would mean or whether I should simply be thinking of a linear > regression line with some non-constant variance? > > An example plot is at > http://cs.swan.ac.uk/~csmg/aes/plots/canon_1_3_4_r1_v_cfs.pdf if > anyone is interested. > > Thanks in advance! > > Matthew Gwynne > http://cs.swan.ac.uk/~csmg/ > > ______________________________________________ > 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. > -- Albyn Jones Reed College jo...@reed.edu ______________________________________________ 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.
