R: Weighted mean and variance of a vector

wtd.mean {questionr}

R Documentation

Weighted mean and variance of a vector

Description

Compute the weighted mean or weighted variance of a vector.

Usage

wtd.mean(x, weights = NULL, normwt = "ignored", na.rm = TRUE)

Arguments

`x`	Numeric data vector
`weights`	Numeric weights vector. Must be the same length as `x`
`normwt`	Only for `wtd.var`, if `TRUE` then weights are normalized for the weighted count to be the same as the non-weighted one
`na.rm`	if `TRUE`, delete `NA` values.

Details

If weights is NULL, then an uniform weighting is applied.

Author(s)

These functions are exact copies of the wtd.mean and wtd.var function from the wtd.stats package. They have been created by Frank Harrell, Department of Biostatistics, Vanderbilt University School of Medicine, <f.harrell@vanderbilt.edu>.

Examples

data(hdv2003)
mean(hdv2003$age)
wtd.mean(hdv2003$age, weights=hdv2003$poids)
var(hdv2003$age)
wtd.var(hdv2003$age, weights=hdv2003$poids)

[Package questionr version 0.6.3 Index]