[R] Odp: Odp: outlying
Petr PIKAL
petr.pikal at precheza.cz
Tue Jun 19 12:55:37 CEST 2007
r-help-bounces at stat.math.ethz.ch napsal dne 19.06.2007 12:23:58:
> Hi
>
> It often depends on your attitude to limits for outlying observations.
> Boxplot has some identifying routine for selecting outlying points.
>
> Any procedure usually requires somebody to choose which observation is
> outlying and why. You can use e.g. all values which are beyond some
> threshold based on sd but that holds only if distribution is normal.
>
> set.seed(1)
> x<-rnorm(x)
Sorry, it shall be
x <- rnorm(1000)
> ul <- mean(x) +3*sd(x)
> ll <- mean(x) -3*sd(x)
> beyond <- (x>ul) | ( x <ll)
>
> > x[beyond]
> [1] 3.810277
>
> Regards
> Petr
>
> petr.pikal at precheza.cz
>
> r-help-bounces at stat.math.ethz.ch napsal dne 19.06.2007 11:29:17:
>
> > hello,
> > are there functions to detecte outlying observations in samples?
> > thanks.
> >
> >
> >
> >
> >
> >
> >
> >
> >
>
___________________________________________________________________________
> >
> >
> >
> >
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help at stat.math.ethz.ch 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 at stat.math.ethz.ch 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.
More information about the R-help
mailing list