DVar: Design variances for single stratum.

In NCSampling: Nearest Centroid (NC) Sampling

Description

For a single stratum approximate design variances are calculated. Not intended to be called directly.

Usage

DVar(popfile, nrefs, yvars, desvars, kvalue, B=1000)

Arguments

popfile	dataframe containing information on stratum of interest.
nrefs	scalar containing the sample size of the stratum.
yvars	character vector containing the name of each variable of interest (dependent variable) for which design variances are required.
desvars	character vector containing the names of the design variables.
kvalue	scalar specifying the value of k for the k-nn imputation.
B	number of re-samples used to calculate the design variances.

Value

A dataframe containing the design variances for the stratum of interest. Data used to calculate these are also returned.

Author(s)

G. Melville

See Also

NC.sample, DesVar.

Examples

## DesVar(popfile, nrefs, yvars, kvalue, desvars, B=1000) 

NCSampling documentation built on May 1, 2019, 10:15 p.m.