Dear all, In my dataset I have 12 columns and 5824 rows. The second column contains information about the height of a claim: it might be zero or positive. I would like to do an analysis on the positive part of this matrix, but I do need the other colums with this. So if there are like 1000 rows where the second column is positive, I would like to extract this 1000x13 matrix into another matrix.
The beginning of my code is: Cars <- read.csv(filename, header=TRUE, row.names=NULL, sep=";") attach(Cars) n <- as.numeric(n) s <- as.numeric(s) # et cetera, the other variabeles are declared as numeric or as factors # I've tried to extract the data the following way: Cars2 <- Cars[Cars$s!=0] #However, then I get the error message: Error in `[.data.frame`(Cars, Cars$s != 0) : undefined columns selected # If I try s[s!=0] # I do get the positive s-values, but how can I get all colums in a matrix? Does anyone know how this can be done? Your help would be greatly appreciated. Regards, Frank van Berkum -- View this message in context: http://r.789695.n4.nabble.com/Extract-rows-with-non-zero-elements-tp2125128p2125128.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.
