Thx - this was exactly what I needed. Yes I also prefer the qqnorm but I like the distrubution chart as well. Thx !
/Mikael On Tue, Feb 3, 2015 at 12:18 AM, peter dalgaard <pda...@gmail.com> wrote: > > > On 02 Feb 2015, at 23:42 , Mikael Olai Milhøj <mikaelmil...@gmail.com> > wrote: > > > > Hi, > > > > I'm having trouble trying to plot the density of the residuals against > the > > standard normal distribution N(0,1). (I'm trying to see if my residuals > are > > well-behaved). > > > > I know hwo to calculate the standardized residuals (I guess that there > may > > be a simple way using a R function) and then plot this by using the > density > > function > > > > y<-(model$residuals-mean(model$residuals))/sd(model$residuals) > > plot(density(y)) > > > > But I don't know how to add the N(0,1) curve. Any suggestions? Thanks in > > advance > > I'd try > > curve(dnorm(x), add=TRUE) > > Some diddling of ylim= is usually required. > > > I'd usually prefer qqnorm() for normality checks, though; it is pretty > hard to assess the tails of density plots. > > Also notice rstandard(), rstudent(). > > -pd > > > > > > > /Mikael > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > > 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 > > > > > > > > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
