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PracTools (version 1.4.1)

Tools for Designing and Weighting Survey Samples

Description

Functions and datasets to support Valliant, Dever, and Kreuter, Practical Tools for Designing and Weighting Survey Samples (2nd edition, 2018). 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.

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Version

Install

install.packages('PracTools')

Monthly Downloads

722

Version

1.4.1

License

GPL-3

Maintainer

Richard Valliant

Last Published

November 9th, 2023

Functions in PracTools (1.4.1)

Split geographic PSUs based on a measure of size threshold

Estimated relvariance components for 3-stage sample

Third grade population

Coefficient of variation of an estimated total in a 2-stage sample

Relvariance components for 2-stage sample

Relvariance components for 3-stage sample

Relvariance components for 2-stage sample

Compute optimal sample sizes for a two-stage sample

Form PSUs based on geographic distances

Generate an HMT population

Estimated relvariance components for 2-stage sample

Chen-Rust design effect

clusOpt3fixedPSU

Compute optimal number of sample secondary sampling units (SSUs) and elements per SSU for a fixed set of primary sampling units (PSUs) in a three-stage sample

Check geographic PSUs to determine whether any are less than minimum measure of size threshold

Accounting data for some US cities with latitude and longitude of the city centroids

Design effects of various types

Maryland area population

Sample sizes for an attribute sample in an audit

Sample sizes for a Monetary Unit Sample in an audit

Henry design effect for pps sampling and GREG estimation of totals

Simple random sample size for a proportion based on margin of error

Labor force population

Calculate a simple random sample size for estimating a proportion

Kish design effect

Sample sizes for a double sampling design

Michigan Behavioral Risk Factor Surveillance Survey

Spencer design effect for an estimated total from a pps sample

Sample sizes for a nonresponse follow-up study

Compute a simple random sample size for an estimated mean

Estimate variance model parameter \(\gamma\)

Class-based nonresponse adjustments

National Health Interview Survey data from 2003: socioeconomic variables

Form nonresponse adjustment classes based on propensity scores

Compute simple random sample size for estimating a proportion

clusOpt2fixedPSU

Optimal number of sample elements per PSU in a two-stage sample when the sample of PSUs is fixed

Compute a simple random sample size for an estimated mean of a continuous variable based on margin of error

Compute the sample size required to estimate the mean of a continuous variable by optimizing the numbers of take-alls and non-take-all units selected by probability sampling

Simple random sample size for difference in proportions

Compute optimal sample sizes for a three-stage sample

Survey of Mental Health Organizations Data

Survey of Mental Health Organizations Data

Simple random sample size for difference in means

Allocate a sample to strata

National Health Interview Survey: Demographic variables

National Health Interview Survey: Demographic and health variables

Iteratively estimate variance model parameter \(\gamma\)

Compute weighted variance

Compute a simple random sample size for an estimated mean or total for a domain

Calculate simple random sample size for estimating a proportion

Coefficient of variation of an estimated total in a 3-stage sample

Compute a composite measure of size for domain-based two-stage sampling