On 09/28/2009 10:47 PM, Matteo Mattiuzzi wrote:
Hello,
I use the function rowMeans(x,na.rm=T). The result is the mean of valid
values in each row, with NA removed. A for me very important information
is, from how many valid "n" this mean has computed.
The thing is, that I apply this function on many millions of rows, so
the time it takes is multiplied by this factor! (so getting this with
"rowSums(is.na(x))" it takes much to long)
I was trying to look inside the function maybe to get not only the
means but the valid "n" too, but I wasn't able.
Hi Matteo,
The number of observations that are NOT NA can be calculated with:
sum(!is.na(x))
and you can see this in action in the valid.n function in the prettyR
package.
Jim
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