weighted.median: Compute the median of weighted data.
In hadley/bigvis: Tools for visualisation of big data sets

Compute the median of weighted data.

1	weighted.median(x, w, na.rm = FALSE)

`x`	numeric vector of observations
`w`	integer vector of weights, representing the number of time each `x` was observed
`na.rm`	If `TRUE` will automatically remove missing values in `x` or `w`.

This is a simple wrapper around weighted.quantile

x <- runif(200)
w <- rpois(200, 5) + 1

median(x)
weighted.median(x, w)

hadley/bigvis documentation built on May 17, 2019, 9:45 a.m.

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