dear R wizards: an operation I execute often is the deletion of all observations (in a matrix or data set) that have at least one NA. (I now need this operation for kde2d, because its internal quantile call complains; could this be considered a buglet?) usually, my data sets are small enough for speed not to matter, and there I do not care whether my method is pretty inefficient (ok, I admit it: I use the sum() function and test whether the result is NA)---but now I have some bigger data sets. Is there a recommended method of doing NA elimination most efficiently? sincerely, /iaw
---
ivo welch
professor of finance and economics
brown / nber / yale
______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
