[R] fast NA elimination ?

[ivo welch]

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