[R] Replacing for loop with tapply!?

From: Sander Oom <slist_at_oomvanlieshout.net>
Date: Fri 10 Jun 2005 - 18:50:06 EST


Dear all,

We have a large data set with temperature data for weather stations across the globe (15000 stations).

For each station, we need to calculate the number of days a certain temperature is exceeded.

So far we used the following S code, where mat88 is a matrix containing rows of 365 daily temperatures for each of 15000 weather stations:

	m <- 37
	n <- 2
	outmat88 <- matrix(0, ncol = 4, nrow = nrow(mat88))
	for(i in 1:nrow(mat88)) {
		# i <- 3
		row1 <- as.data.frame(df88[i,  ])
		temprow37 <- select.rows(row1, row1 > m)
		temprow39 <- select.rows(row1, row1 > m + n)
		temprow41 <- select.rows(row1, row1 > m + 2 * n)
		outmat88[i, 1] <- max(row1, na.rm = T)
		outmat88[i, 2] <- count.rows(temprow37)
		outmat88[i, 3] <- count.rows(temprow39)
		outmat88[i, 4] <- count.rows(temprow41)
	}
	outmat88

We have transferred the data to a more potent Linux box running R, but still hope to speed up the code.

I know a for loop should be avoided when looking for speed. I also know the answer is in something like tapply, but my understanding of these commands is still to limited to see the solution. Could someone show me the way!?

Thanks in advance,

Sander.

-- 
--------------------------------------------
Dr Sander P. Oom
Animal, Plant and Environmental Sciences,
University of the Witwatersrand
Private Bag 3, Wits 2050, South Africa
Tel (work)      +27 (0)11 717 64 04
Tel (home)      +27 (0)18 297 44 51
Fax             +27 (0)18 299 24 64
Email   sander@oomvanlieshout.net
Web     www.oomvanlieshout.net/sander

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Received on Fri Jun 10 18:54:49 2005

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