Try this: subset(toy, !rowSums(mapply(is.element, toy[c('CH', 'DAY')], subset(toy, SLOPE < 0, CH:DAY))) > 1 | SLOPE < 0)
On Thu, Aug 12, 2010 at 4:11 PM, Toby Gass <tobyg...@warnercnr.colostate.edu > wrote: > Dear helpeRs, > > I have a dataframe (14947 x 27) containing measurements collected > every 5 seconds at several different sampling locations. If one > measurement at a given location is less than zero on a given day, I > would like to delete all measurements from that location on that day. > > Here is a toy example: > > toy <- data.frame(CH = rep(3:5,3), DAY = c(rep(4,5), rep(5,4)), > SLOPE = c(seq(0.2,0.6, .1),seq(0.2, -0.1, -0.1))) > > In this example, row 9 has a negative measurement for Chamber 5, so I > would like to delete row 6, which is the same Chamber on the same > day, but not row 3, which is the same chamber on a different day. In > the full dataframe, there are, of course, many more days. > > Is there a handy R way to do this? > > Thank you for the assistance. > > Toby > > ______________________________________________ > 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. > -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O [[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.