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.
