At a quick glance, your code seems to be deleting columns not rows try y[-c(11,22,33), ]
--- On Mon, 9/14/09, Hollix <holger.steinm...@web.de> wrote: > From: Hollix <holger.steinm...@web.de> > Subject: [R] Eliminate cases in a subset of a dataframe > To: r-help@r-project.org > Received: Monday, September 14, 2009, 10:57 AM > > Hi folks, > > I created a subset of a dataframe (i.e., selected only > men): > > subdata <- subset(data,data$gender==1) > > After a residual diagnostic of a regression analysis, I > detected three > outliers: > > linmod <- lm(y ~ x, data=subdata) > plot(linmod) > > Say, the cases 11,22, and 33 were outliers. > > Here comes the problem: When I want to exclude these three > cases in a > further regression analysis, > - for instance with linmod2 <- lm(y[-c(11,22,33)] ~ > x[-c(11,22,33)], > data=subdata) - it does not work. > > I guess this has something to do with this strange > "row.names"-vector which > has been added to the dataframe when creating the subset. I > find it very > strange why R gives the case numbers in the diagnostics but > then doesn't > allow me to use these numbers for further exclusion. > > Can anybody tell me: > 1. what this row.names vector is > 2. How I can refer to cases after creating a subset (e.g., > in order to > exclude them). > > Many thanks in advance, > Best, > Holger > -- > View this message in context: > http://www.nabble.com/Eliminate-cases-in-a-subset-of-a-dataframe-tp25437374p25437374.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. > __________________________________________________________________ [[elided Yahoo spam]] ______________________________________________ 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.