compute variance of every column in a matrix without a loop

Is it possible to compute the variance of every column in a matrix
without a loop?

No, but you can make it look as if there's no loop.

You can hide the for() loop inside a function with
  apply(m, 2, var)
if the reason you want to avoid a loop is to make your code look simpler.

In 1.5.0 you will be able to do
   colMeans(m*m)-colMeans(m)^2
if the reason is to have the loop take place in compiled code and be
faster.


	-thomas


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