Hi: Here's one way:
do.call(rbind, lapply(L, function(d) if(nrow(d) > 1) return(d))) id value value2 1.1 1 5 1 1.2 1 6 4 1.3 1 7 3 3.5 3 5 4 3.6 3 4 3 HTH, Dennis On Tue, Nov 22, 2011 at 9:43 AM, AC Del Re <de...@wisc.edu> wrote: > Hi, > > Is there an easy way to remove dataframe rows without duplicated values of > a specified column ('id')? e.g., > > dat <- data.frame(id = c(1,1,1,2,3,3), value = c(5,6,7,4,5,4), value2 = > c(1,4,3,3,4,3)) > dat > > id value value2 > 1 1 5 1 > 2 1 6 4 > 3 1 7 3 > 4 2 4 3 > 5 3 5 4 > 6 3 4 3 > > > This is sample data and the real data has hundreds of rows. In this > case, only row 4 does not have a duplicated id and I would like to > remove it without using: > > > dat$id[4] <- NULL > > > Any help is appreciated! > > > AC > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > ______________________________________________ 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.