Unfortunately not. I want a qqplot from two variables. Ralf
On Thu, Jun 24, 2010 at 7:23 PM, Joris Meys <jorism...@gmail.com> wrote: > Also take a look at qq.plot in the package "car". Gives you exactly > what you want. > Cheers > Joris > > On Fri, Jun 25, 2010 at 12:55 AM, Ralf B <ralf.bie...@gmail.com> wrote: >> More details... >> >> I have two distributions which are very similar. I have plotted >> density plots already from the two distributions. In addition, >> I created a qqplot that show an almost straight line. What I want is a >> line that represents the ideal case in which the two >> distributions match perfectly. I would use this line to see how much >> the errors divert at different stages of the plot. >> >> Ralf >> >> >> >> On Thu, Jun 24, 2010 at 5:56 PM, stephen sefick <ssef...@gmail.com> wrote: >>> You are going to have to define the question a little better. Also, >>> please provide a reproducible example. >>> >>> On Thu, Jun 24, 2010 at 4:44 PM, Ralf B <ralf.bie...@gmail.com> wrote: >>>> I am a beginner in R, so please don't step on me if this is too >>>> simple. I have two data sets datax and datay for which I created a >>>> qqplot >>>> >>>> qqplot(datax,datay) >>>> >>>> but now I want a line that indicates the perfect match so that I can >>>> see how much the plot diverts from the ideal. This ideal however is >>>> not normal, so I think qqnorm and qqline cannot be applied. >>>> >>>> Perhaps you can help? >>>> >>>> Ralf >>>> >>>> ______________________________________________ >>>> 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. >>>> >>> >>> >>> >>> -- >>> Stephen Sefick >>> ____________________________________ >>> | Auburn University | >>> | Department of Biological Sciences | >>> | 331 Funchess Hall | >>> | Auburn, Alabama | >>> | 36849 | >>> |___________________________________| >>> | sas0...@auburn.edu | >>> | http://www.auburn.edu/~sas0025 | >>> |___________________________________| >>> >>> Let's not spend our time and resources thinking about things that are >>> so little or so large that all they really do for us is puff us up and >>> make us feel like gods. We are mammals, and have not exhausted the >>> annoying little problems of being mammals. >>> >>> -K. Mullis >>> >> >> ______________________________________________ >> 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. >> > > > > -- > Joris Meys > Statistical consultant > > Ghent University > Faculty of Bioscience Engineering > Department of Applied mathematics, biometrics and process control > > tel : +32 9 264 59 87 > joris.m...@ugent.be > ------------------------------- > Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php > ______________________________________________ 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.
