On Sep 19, 2011, at 12:01 PM, Rich Shepard wrote: > On Mon, 19 Sep 2011, Marc Schwartz wrote: > >> You can look at ?complete.cases for one approach, presuming that it will >> work on zoo objects. > > Marc, > > That's the opposite of what I want. It returns only rows with no missing > data. I'm looking for something that will return rows with _only_ missing > data, and drop them in the bit bucket. > > Thanks, > > Rich
Rich, OK, I mis-read your post. Depending upon the underlying structure/class of the zoo object (eg. matrix versus data frame) and presuming that there are no functions in zoo that provide this specific functionality, you may have to create a function that goes row-by-row looking for all NA's. Possibly something along the lines of the following for a matrix: zoo.object[apply(zoo.object, 1, function(x) all(is.na(x))), ] That won't work for a data frame class object, so you might have to loop over the rows with a for() loop or sapply(): zoo.object[sapply(rownames(zoo.object), function(x) all(is.na(x))), ] Both of the above are untested. HTH, Marc P.S. I completely forgot that today is International Talk Like A Pirate Day, so Rrrrrr Matey… ;-) ______________________________________________ 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.
