summary stats including NA's into new dataframe

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

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