outlier identify in qqplot
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 Sent from the R help mailing list archive at Nabble.com.
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