A basic approach is x <- rchisq(1000, 4) qqplot(qchisq(ppoints(x), 4), x) abline(0,1)
Substitute whatever distribution and parameters that might apply. Notice that if you don't have a location-scale family of distributions, you need to compare to the identity line, not just look for linearity. -pd On 12 Oct 2014, at 11:58 , Jomy Jose <infoj...@gmail.com> wrote: > Is there any R package that can plot Q-Q plot for loglogistic,lognormal and > 2 parameter exponential distributions or is there a way to check the model > fit for these distributions in R ? > > [[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. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ 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.
