[R] t-test via matrix operations

[Kort, Eric]

I need to calculate a large number of t statistics, and would like to do so via matrix operations.  So far I have figured out a way to calculate the mean of each row of the matrix:

d <- matrix(runif(100000,1,10), 1000, 10) # some test data
s <- rep(1,ncol(d)) # a sum vector to use for matrix multiplication
means <- (d%*%s)/ncol(d)

This is at least 1 order of magnitude faster than iterating through the rows and using the mean function (<1/100th seconds vs. 13/100th seconds on my computer).

Two questions:
1) Do you see a way to further optimize/simplify/elegantize this calculation of the row means?
2) How do I proceed to calculate the row variances with matrix operations (specifically, how can I use matrix operations to subtract each element of each row from the corresponding row mean)?

Thank you,
Eric Kort
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