weightedmedian: Weighted Median
In limma: Linear Models for Microarray Data

Compute a weighted median of a numeric vector.

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

`x`	a numeric vector containing the values whose mean is to be computed.
`w`	a vector of weights the same length as `x` giving the weights to use for each element of `x`.
`na.rm`	a logical value indicating whether `NA` values in `x` should be stripped before the computation proceeds.

If w is missing then all elements of x are given the same weight.

Missing values in w are not handled.

The weighted median is the median of the discrete distribution with values given by x and probabilities given by w/sum(w).

numeric value giving the weighted median

## GPA from Siegel 1994
wt <- c(5,  5,  4,  1)/15
x <- c(3.7,3.3,3.5,2.8)
xm <- weighted.median(x,wt)

limma documentation built on Nov. 8, 2020, 8:28 p.m.

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