There is a slightly faster algorithm in my quantreg package, see
kuantile()
but this is only significant when sample sizes are very large. In
your case
you really need a wrapper that keeps the loop over columns within some
lower level language.
url: www.econ.uiuc.edu/~roger Roger Koenker
email rkoen...@uiuc.edu Department of Economics
vox: 217-333-4558 University of Illinois
fax: 217-244-6678 Champaign, IL 61820
On Apr 13, 2009, at 11:29 PM, Zheng, Xin (NIH) [C] wrote:
Hi there,
I got a data frame with more than 200k columns. How could I get
median of each column fast? mapply is the fastest function I know
for that, it's not yet satisfied though.
It seems function "median" in R calculates median by "sort" and
"mean". I am wondering if there is another function with better
algorithm.
Any hint?
Thanks,
Xin Zheng
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