[R] outlier identify in qqplot
R. Michael Weylandt
michael.weylandt at gmail.com
Thu May 10 13:31:42 CEST 2012
Reproducible example? https://github.com/hadley/devtools/wiki/Reproducibility
Michael
On Thu, May 10, 2012 at 6:31 AM, agent dunham <crosspide at hotmail.com> wrote:
> Sorry, but I need the same and i don't understand your help.
>
> So, after fitting my lm model, how can i identify my data? I was trying the
> following, but it doesn't work.
>
> /identify(qnorm(c(0.25,
> 0.75)),quantile(rstandard(mymodel)[!is.na(rstandard(mymodel))], c(0.25,
> 0.75)),row.names(mydata))
> warning: no point within 0.25 inches/
>
> /In identify.default(qnorm(c(0.25, 0.75)),
> quantile(rstandard(lmt2t)[!is.na(rstandard(lmt2t))], :
> more 'labels' than points/
>
> Thanks in advance, show user at host.com
>
> --
> View this message in context: http://r.789695.n4.nabble.com/outlier-identify-in-qqplot-tp4076587p4623088.html
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>
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