Dear Kjetil, Simulated point-wise confidence envelopes are available from qqPlot() only for studentized residuals from linear and generalized linear models. For an independent sample of observations, the confidence envelopes produced by qqPlot() are based on the standard errors of the order statistics for the reference distribution.
Best, John ------------------------------------------------ John Fox Sen. William McMaster Prof. of Social Statistics Department of Sociology McMaster University Hamilton, Ontario, Canada http://socserv.mcmaster.ca/jfox/ On Tue, 19 Jun 2012 15:21:07 -0400 Kjetil Halvorsen <kjetilbrinchmannhalvor...@gmail.com> wrote: > Or uou can try > library(car) > > ?qqPlot > > use that with argument simulate=TRUE, which will give a simulated > envelope around the curve for > comparison. > > Kjetil > > On Tue, Jun 19, 2012 at 9:30 AM, Özgür Asar <oa...@metu.edu.tr> wrote: > > Hi, > > > > Try boxplot for outliers. > > > > To decide whether they influence significantly, try confirmatory normality > > tests. > > > > Ozgur > > > > -- > > View this message in context: > > http://r.789695.n4.nabble.com/QQplot-normally-distributed-tp4633819p4633830.html > > Sent from the R help mailing list archive at Nabble.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. > > ______________________________________________ > 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.
