How do I check that, and what quantification does it provide? Thanks, Firas. On Wed, 2008-07-23 at 21:20 +0530, Bogaso Cristofer wrote: > Have u checked skewness of data? > > -----Original Message----- > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On > Behalf Of Firas Swidan > Sent: 23 July 2008 18:38 > To: r-help@r-project.org > Subject: [R] Quantitative analysis of non-standard scatter plots. > > Hi, > > I am having difficulties in finding ways to analyse scatter plots and > quantitatively differentiate between them. Since this is best demonstrated > by a figure, I have attached one with 4 subfigures (a)-(d). Qualitatively > (and I hope you would agree with me), sub-figures (a), (b), and (d) seem to > represent uniform 2d scatters. It is hard for me to quantify it, but it > seems as if the envelopes (max values of y-axis) are independent of the > values of the x-axis. Sub-figure (c), on the other hand, exhibits a > different behaviour, as the envelope seems to expand as the x-values > increase (at least till some threshold, and with the exception of a single > outlier toward the begining of the x-axis). My question is how can I verify > the above observation quantitatively, and does R provide the required tools > for doing so? I have tried to perform linear fittings and to claim that the > slope of the fitted line in (c) is more significant than the lines in (a), > (b), and (d), but this does not seem convincing to me. Are there standard > toolboxes for such cases? > > Thanks for any suggestions / tips, > Firas. > -- Firas Swidan, PhD Founder and CEO Olymons: Blessing Machines with Vision (TM) http://www.olymons.com P.O.Box 8125 Nazareth 16480 Israel Cell: +.972.(0)54.733.1788
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