R: Function to compute the weighted mean and weighted variance...

weighted.meanvar {genefu}

R Documentation

Function to compute the weighted mean and weighted variance of 'x'

Description

This function allows for computing the weighted mean and weighted variance of a vector of continuous values.

Usage

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

Arguments

`x`	an object containing the values whose weighted mean is to be computed.
`w`	a numerical vector of weights of the same length as `x` giving the weights to use for elements of `x`.
`na.rm`	`TRUE` if missing values should be removed, `FALSE` otherwise.

Details

If w is missing then all elements of x are given the same weight, otherwise the weights coerced to numeric by as.numeric. On the contrary of weighted.mean the weights are NOT normalized to sum to one. If the sum of the weights is zero or infinite, NAs will be returned.

Value

A numeric vector of two values that are the weighted mean and weighted variance respectively.

Author(s)

Benjamin Haibe-Kains

References

http://en.wikipedia.org/wiki/Weighted_variance#Weighted_sample_variance

Examples

set.seed(54321)
weighted.meanvar(x=rnorm(100) + 10, w=runif(100))

[Package genefu version 2.11.2 Index]