Hello everyone-
I have a 3-d array with the 1st dimension being monthly mean data that
I would like to correlate with some time series index, for example, and save the coefficients in an array.
The code I am currently running is....
rData <- array(0,c(73,144)) # array to store results for (i in 1:73) { for (j in 1:144) { rData[i,j] <- cor(slp[,i,j],y) } }
Rather than running this analysis embedded with two outer loops, are = there any more efficient ways of doing this? Many thanks!
Don't know whether it's more efficient:
You can try to apply() the function rcorr() in package "Hmisc" to your problem...
Uwe Ligges
Maurice
Maurice McHugh Department of Geography and Anthropology Louisiana State University Baton Rouge, LA [[alternative HTML version deleted]]
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