wtdvar

Compute an estimate of a population unit variance from a complex sample with survey weights.

methods

survey

Functions and datasets to support Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>, "Practical Tools for Designing and Weighting Survey Samples". Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs, and single-stage audit sample designs. Functions are included that will group geographic units accounting for distances apart and measures of size. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.

Richard Valliant

PracTools

Designing and Weighting Survey Samples

Frauke Kreuter

George Zipf

Jill A. Dever

wtdvar function

<dl> <dt>x</dt>
<dd>data vector</dd> <dt>w</dt>
<dd>vector of survey weights; must be same length as <code>x</code></dd> <dt>na.rm</dt>
<dd>remove missing values (TRUE or FALSE)</dd></dl>

Arguments

Richard Valliant, Jill A. Dever, Frauke Kreuter

Author

Compute weighted variance — wtdvar

<dl>

 <dt>x</dt>
<dd>data vector</dd>

 <dt>w</dt>
<dd>vector of survey weights; must be same length as <code>x</code></dd>

 <dt>na.rm</dt>
<dd>remove missing values (TRUE or FALSE)</dd>

</dl>

wtdvar: Compute weighted variance

Description

Usage

Value

Arguments

Author

Details

References

Examples