While perhaps not the solution you were looking for, you might consider
estimating weighted medians with linear quantile regression (just specify
an intercept for single sample analysis, tau=0.50, and weights = your
weights) in the quantreg package. Quantile regression does not require
sorting
Hi,
good memory. weightedMedian() is now available in the aroma.light
package (it was moved there from R.basic in Feb 2006).
/Henrik
(author of both packages)
On Tue, Mar 30, 2010 at 6:30 PM, Joris Meys wrote:
> Dear all,
>
> I want to apply a weighted median on a huge dataset, and I remember
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