[Rd] Fastest non-overlapping binning mean function out there?

Terry Therneau therneau at mayo.edu
Wed Oct 3 14:50:45 CEST 2012

Look at rowsum.  It's pretty fast C code.

Terry T

On 10/03/2012 05:00 AM, r-devel-request at r-project.org wrote:
> Hi,
> I'm looking for a super-duper fast mean/sum binning implementation
> available in R, and before implementing z = binnedMeans(x y) in native
> code myself, does any one know of an existing function/package for
> this?  I'm sure it already exists.  So, given data (x,y) and B bins
> bx[1]<  bx[2]<  ...<  bx[B]<  bx[B+1], I'd like to calculate the
> binned means (or sums) 'z' such that z[1] = mean(x[bx[1]<= x&  x<
> bx[2]]), z[2] = mean(x[bx[2]<= x&  x<  bx[3]]), .... z[B].  Let's
> assume there are no missing values and 'x' and 'bx' is already
> ordered.  The length of 'x' is in the order of 10,000-millions.  The
> number of elements in each bin vary.
> Thanks,
> Henrik

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