questionr (version 0.6.3)

wtd.mean: 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.

See Also

mean,var, wtd.table and the survey package.

Examples

# NOT RUN {
data(hdv2003)
mean(hdv2003$age)
wtd.mean(hdv2003$age, weights=hdv2003$poids)
var(hdv2003$age)
wtd.var(hdv2003$age, weights=hdv2003$poids)
# }