# weighted.median: Weighted Median, Quantiles or Variance

## Description

Compute the median, quantiles or variance of a set of numbers which have
weights associated with them.

## Usage

weighted.median(x, w, na.rm = TRUE)weighted.quantile(x, w, probs=seq(0,1,0.25), na.rm = TRUE)

weighted.var(x, w, na.rm = TRUE)

## Arguments

x

Data values.
A vector of numeric values, for which the median or quantiles are required.

w

Weights.
A vector of nonnegative numbers, of the same length as `x`

.

probs

Probabilities for which the quantiles should be computed.
A numeric vector of values between 0 and 1.

na.rm

Logical. Whether to ignore `NA`

values.

## Value

A numeric value or vector.

## Details

The `i`

th observation `x[i]`

is treated as having
a weight proportional to `w[i]`

.

The weighted median is a value `m`

such that the total weight of data to the left of `m`

is equal to half the total weight.
If there is no such value, linear interpolation is performed.

## Examples

# NOT RUN {
x <- 1:20
w <- runif(20)
weighted.median(x, w)
weighted.quantile(x, w)
weighted.var(x, w)
# }