I think my dstats function does what you want, if I understand you coorrectly. You could apply it over rows or columns:
http://home.earthlink.net/~bmagill/MyMisc.html It is there along with several other functions. On Thu, 19 Dec 2002 11:18:25 +1000 [EMAIL PROTECTED] wrote: > Thanks Uwe, > Can't seem to get your formula to work... > I should have made this clearer. I am after a > listing of the number of NAs > and Valid Ns (or total N)for export to csv,eg: > Variable, mean, Missing Values, Valid N > test, 6.00000,2,18 > bummer,5.44444,1,19 > > from: > > x List, > > > > I am trying to extract summary statistics > from a data frame with several > > variables (and NAs) into a dataframe with the > columns: Variablename (ie > the > > colnames of original data), mean, stdev, max, > min, Valid N, Missing > Values. > > > > Extracting the statistics is straightforward > using stack and aggregate. > > However, I haven't succeeded in obtaining the > number of Missing Values. I > > can extract these from describe (Hmisc > library), but surely there is a > > simpler way similar to obtaining the mean > using aggregate? > > The similar way is: > > aggregate(......., function(x) sum(is.na(x))) > > Uwe Ligges > > > Suggestions are much appreciated > > > [[alternate HTML version deleted]] > > ______________________________________________ > [EMAIL PROTECTED] mailing list > http://www.stat.math.ethz.ch/mailman/listinfo/r-help > ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
