You might also want to look at the idealized situation: library(playwith) library(sn)
playwith(qqnorm(qsn(1:99/100, shape = shape)), parameters = list(shape = seq(-3, 3, .1))) On Fri, Feb 13, 2009 at 6:43 AM, Gabor Grothendieck <ggrothendi...@gmail.com> wrote: > You can readily create a dynamic display for using qqplot and similar > functions > in conjunction with either the playwith or TeachingDemos packages. > > For example, to investigate the effect of the shape parameter in the skew > normal distribution on its qqplot relative to the normal distribution: > > library(playwith) > library(sn) > playwith(qqnorm(rsn(100, shape = shape)), > parameters = list(shape = seq(-3, 3, .1))) > > Now move the slider located at the bottom of the window that > appears and watch the plot change in response to changing > the shape value. > > You can find more distributions here: > http://cran.r-project.org/web/views/Distributions.html > > On Thu, Feb 12, 2009 at 1:04 PM, Jason Rupert <jasonkrup...@yahoo.com> wrote: >> By any chance is any one aware of a website, book, paper, etc. or >> combinations of those sources that show plots of different distributions? >> >> After reading a pretty good whitepaper I became aware of the benefit of I >> the benefit of doing Q-Q plots and histograms to help assess a distribution. >> The whitepaper is called: >> "Univariate Analysis and Normality Test Using SAS, Stata, and SPSS*" , (c) >> 2002-2008 The Trustees of Indiana University Univariate Analysis and >> Normality Test: 1, Hun Myoung Park >> >> Unfortunately the white paper does not provide an extensive amount of >> example distributions plotted using Q-Q plots and histograms, so I am >> curious if there is a "portfolio"-type website or other whitepaper shows >> examples of various types of distributions. >> >> It would be helpful to see a bunch of Q-Q plots and their associated >> histograms to get an idea of how the distribution looks in comparison >> against the Gaussian. >> >> I think seeing the plot really helps. >> >> Thank you for any insights. >> >> >> >> [[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. >> >> > ______________________________________________ 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.