On 2008-January-22 , at 03:10 , Jon Erik Ween wrote:
> That got me there. I suppose R prefers absolute field references in
> scripts rather than macrosubstitutions of field names like you would
> do in pearl or shell scripts?
no, actually, the problem is that apply works on arrays/matrices[1],
Thanks Jim
That got me there. I suppose R prefers absolute field references in
scripts rather than macrosubstitutions of field names like you would
do in pearl or shell scripts?
Anyway, thanks for you help.
Cheers
Jon
Soli Deo Gloria
Jon Erik Ween, MD, MS
Scientist, Kunin-Lunenfeld Appli
If you only want a subset, then use that in the function:
Dataset.target <- apply(x,1,function(.row) sum(is.na(.row[3:8])))
This will put it back in column1:
> x <- matrix(1,10,10)
> x[sample(1:100,10)] <- NA
> x[,1] <- 0 # make sure column 1 has no NAs so sums are correct
> x
[,1] [,2] [
Thanks Jim
I see how this works. Problem is, I need to interrogate only a subset
of fields. In your example, I need to put the total number of "NA"
fields out of fields 3..8, excluding 1,2 9 10. Also, I don't see how
the method inserts the sum into a particular field in a row. I guess
you
You need to do 'is.na(x)' instead of "x == NA".. Here is a way of doing it:
> x <- matrix(1,10,10)
> x[sample(1:100,10)] <- NA
> x
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,]111111111 1
[2,]111111 NA11
Hi!
I need to conditionally update a dataframe field based on values in
other fields and can't find even how to search for this right. Sorry
if this has been asked before.
But, specifically, I have a 490 X 221 dataframe and need to count, by
row, how many fields in Dataframe$field_a...Dataf
6 matches
Mail list logo
