try this: Minus127 <- ShortLavin[!row.names(ShortLavin) %in% "127", ]
I hope it helps. Best, Dimitris ---- Dimitris Rizopoulos Biostatistical Centre School of Public Health Catholic University of Leuven Address: Kapucijnenvoer 35, Leuven, Belgium Tel: +32/(0)16/336899 Fax: +32/(0)16/337015 Web: http://med.kuleuven.be/biostat/ http://www.student.kuleuven.be/~m0390867/dimitris.htm ----- Original Message ----- From: "John Sorkin" <[EMAIL PROTECTED]> To: <r-help@r-project.org> Sent: Tuesday, March 04, 2008 2:41 PM Subject: [R] subsetting a dataframe > windows XP > R 2.6.0 > > I am having problems deleting a row from a data frame. I create my > dataframe by subsetting a larger dataframe: > > ShortLavin<-Lavin[Lavin[,"Site"]=="PP" | Lavin[,"Site"]=="CC" | > Lavin[,"Site"]=="FH",] > > I then perform a glm using the data frame and plot the results. > > fit1poisson<-glm(NumUniqOpPt~Seq+Site,family=poisson(link = > "log"),data=ShortLavin,offset=log(NumUniqPt)) > plot(fit1poisson) > > On the plots I see a point labeled as 127 that is an extreme value. > I want to re-run the glm excluding the extreme observation. I have > tried several methods to exclude the observation (shown below), none > have worked. > > Minus127<-ShortLavin[-127,] > Minus127<-ShortLavin[-"127",] > Minus127<-ShortLavin[-c(127),] > Minus127<-ShortLavin[-c("127"),] > > None of these worked. Suggestions on how I can remove observation > 127 would be appreciated > > Thank you, > John > > John Sorkin M.D., Ph.D. > Chief, Biostatistics and Informatics > University of Maryland School of Medicine Division of Gerontology > Baltimore VA Medical Center > 10 North Greene Street > GRECC (BT/18/GR) > Baltimore, MD 21201-1524 > (Phone) 410-605-7119 > (Fax) 410-605-7913 (Please call phone number above prior to faxing) > > Confidentiality Statement: > This email message, including any attachments, is for\...{{dropped:14}} ______________________________________________ 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.
