weightedmedian: Weighted Median

In hdeberg/limma: Linear Models for Microarray Data

Description

Compute a weighted median of a numeric vector.

Usage

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

Arguments

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.

Details

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).

Value

numeric value giving the weighted median

See Also

median, weighted.mean

Examples

## 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)

hdeberg/limma documentation built on Dec. 20, 2021, 3:43 p.m.