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 u...@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. ______________________________________________ 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.
