This is precisely what I needed; I can't believe how simple it is. Thanks!
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> From: vashchyshy...@gmail.com
> Sent: Tue, 5 Jun 2012 07:48:51 -0700 (PDT)
> To: r-help@r-project.org
> Subject: [R] rowSums problem
>
> I'm having a very frustrating problem, trying to find the inverse
> distance
> squared weighted interpolants of some
Hello,
The files you've uploaded are the weights file and the results file, not
the original temp.csv.
So this is untested but it seems you have a standard matrix multiply
problem.
temp3880W <- temp[, 3:50] %*% weight3880
Hope this helps,
Rui Barradas
Em 05-06-2012 15:48, alonis10 escreveu
http://r.789695.n4.nabble.com/file/n4632406/temp3880.csv temp3880.csv
http://r.789695.n4.nabble.com/file/n4632406/weight3880.csv weight3880.csv
Here are the files I promised to upload.
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Sent fr
I'm having a very frustrating problem, trying to find the inverse distance
squared weighted interpolants of some weather data.
I have a data frame of weights, which sum to 1. I have attached the weights
data. I also have a data frame of temperatures at 48 grid points, which I
have also attached.
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