Package: PracTools 1.7.5

Richard Valliant

PracTools: Designing and Weighting Survey Samples

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, sample sizes in two-phase designs, and a stopping rule for ending data collection. A number of example data sets are included.

Authors:Richard Valliant [aut, cre], Jill A. Dever [ctb], Frauke Kreuter [ctb], George Zipf [aut]

PracTools_1.7.5.tar.gz
PracTools_1.7.5.tar.gz(r-4.7-any)PracTools_1.7.5.tar.gz(r-4.6-any)
PracTools_1.7.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PracTools/json (API)

# Install 'PracTools' in R:
install.packages('PracTools', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Domainy1y2 - Domain data
  • hospital - Hospital Data
  • labor - Labor force population
  • MDarea.popA - Maryland area population
  • mibrfss - Michigan Behavioral Risk Factor Surveillance Survey
  • nhis - National Health Interview Survey: Demographic variables
  • nhis.large - National Health Interview Survey: Demographic and health variables
  • nhispart - National Health Interview Survey data from 2003: socioeconomic variables
  • smho.N874 - Survey of Mental Health Organizations Data
  • smho98 - Survey of Mental Health Organizations Data
  • Test_Data_US - Accounting data for some US cities with latitude and longitude of the city centroids
  • ThirdGrade - Third grade population
  • TPV - TPV Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.18 score 1 stars 127 scripts 612 downloads 48 exports 40 dependencies

Last updated from:6939344784. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK180
source / vignettesOK241
linux-release-x86_64OK178
wasm-releaseOK135

Exports:BW2stagePPSBW2stagePPSeBW2stageSRSBW3stagePPSBW3stagePPSeclusOpt2clusOpt2fixedPSUclusOpt3clusOpt3fixedPSUCompMOSCVcalc2CVcalc3deffdeffCRdeffHdeffKdeffSdubgamEstgammaFitGeoDistMOSGeoDistPSUGeoMinMOSHMTnAuditAttrnAuditMUSnContnContMoenContOptnDep2samnDomainnEdgenEdgeSRSnLogOddsnPPSnPropnProp2samnPropMoeNRadjClassNRFUoptnWilsonpclassquad_rootsSampStopstrAllocunitVarwtd.momentswtdvar

Dependencies:classclassIntclicpp11DBIdplyre1071farvergenericsgeosphereggplot2gluegtableisobandKernSmoothlabelinglifecyclemagrittrMASSpillarpkgconfigproxyR6RColorBrewerRcpprlangs2S7scalessftibbletidyselectunitsusmapusmapdatautf8vctrsviridisLitewithrwk

Deciding When to Stop: The SampStop function
Framing the Problem: A Statistical Approach | Framing the Solution: Using SampStop as guidance for stopping sampling | Example | Conclusion
Rendered fromSampStop.Rmdusingknitr::rmarkdown

Last update: 2025-09-29
Started: 2025-09-29

Variance Component Estimation in Multistage Sampling
Two-stage Sampling | Special case: srswor at first and second stages | More General Two-stage Designs | General Three-stage Designs | References
Rendered fromVarcomps-multistage.Rmdusingknitr::rmarkdown

Last update: 2023-12-06
Started: 2020-08-03

Creating Geography-Based PSUs with as Similarly-Sized MOS as Possible
Guidelines for Creating Geography-Based PSUs | Data Requirements for Geography-Based PSUs | Process for Creating Geography-Based PSUs | Example | Displaying Geography-Based PSUs | Geography-Based PSUs and Two-Stage Sample Size Calculations | References
Rendered fromDistance-and-MOS-PSUs.Rmdusingknitr::rmarkdown

Last update: 2023-11-09
Started: 2023-03-19

Design Effects and Effective Sample Size
Design Effect Components | Weighting | Stratification | Clustering | Combined Formula | Modeled Design Effect Estimates | PracTools Design Effect Functions | Design Effect in the survey package | Intraclass Correlation Coefficient | Design Effect and Sample Size Calculations | Conclusion | References
Rendered fromDesign-effects.Rmdusingknitr::rmarkdown

Last update: 2023-11-09
Started: 2023-11-09

Sample Size Calculation in Single-stage Sampling
Simple Random Sampling | Using a margin of error to find sample sizes | Stratified Simple Random Sampling | Probability Proportional to Size Sampling | References
Rendered fromSinglestage-samsize.Rmdusingknitr::rmarkdown

Last update: 2023-11-09
Started: 2020-08-03

Selection of Appropriate PracTools Sample Size Function
Considerations for Sample Size Determination | PracTools Sample Size Functions | Impact of Design Effect (deff):
Rendered fromSelect-samsize-fcns.Rmdusingknitr::rmarkdown

Last update: 2023-11-09
Started: 2023-05-23

Readme and manuals

Help Manual

Help pageTopics
Relvariance components for 2-stage sampleBW2stagePPS
Estimated relvariance components for 2-stage sampleBW2stagePPSe
Relvariance components for 2-stage sampleBW2stageSRS
Relvariance components for 3-stage sampleBW3stagePPS
Estimated relvariance components for 3-stage sampleBW3stagePPSe
Compute optimal sample sizes for a two-stage sampleclusOpt2
Optimal number of sample elements per PSU in a two-stage sample when the sample of PSUs is fixedclusOpt2fixedPSU
Compute optimal sample sizes for a three-stage sampleclusOpt3
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 sampleclusOpt3fixedPSU
Compute a composite measure of size for domain-based two-stage samplingCompMOS
Coefficient of variation of an estimated total in a 2-stage sampleCVcalc2
Coefficient of variation of an estimated total in a 3-stage sampleCVcalc3
Design effects of various typesdeff
Chen-Rust design effectdeffCR
Henry design effect for _pps_ sampling and GREG estimation of totalsdeffH
Kish design effectdeffK
Spencer design effect for an estimated total from a _pps_ sampledeffS
Domain dataDomainy1y2
Sample sizes for a double sampling designdub
Estimate variance model parameter gammagamEst
Iteratively estimate variance model parameter gammagammaFit
Split geographic PSUs based on a measure of size thresholdGeoDistMOS
Form PSUs based on geographic distancesGeoDistPSU
Check geographic PSUs to determine whether any are less than minimum measure of size thresholdGeoMinMOS
Generate an HMT populationHMT
Hospital Datahospital
Labor force populationlabor
Maryland area populationMDarea.popA
Michigan Behavioral Risk Factor Surveillance Surveymibrfss
Sample sizes for an attribute sample in an auditnAuditAttr
Sample sizes for a Monetary Unit Sample in an auditnAuditMUS
Compute a simple random sample size for an estimated meannCont
Compute a simple random sample size for an estimated mean of a continuous variable based on margin of errornContMoe
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 samplingnContOpt
Simple random sample size for difference in meansnDep2sam
Compute a simple random sample size for an estimated mean or total for a domainnDomain
Compute the total sample size for a stratified, simple random sample based on an Edgeworth approximationnEdge
Compute the total sample size for a simple random sample based on an Edgeworth approximationnEdgeSRS
National Health Interview Survey: Demographic variablesnhis
National Health Interview Survey: Demographic and health variablesnhis.large
National Health Interview Survey data from 2003: socioeconomic variablesnhispart
Calculate simple random sample size for estimating a proportionnLogOdds
Calculate the sample size for a probability proportional to size (PPS) samplenPPS
Compute simple random sample size for estimating a proportionnProp
Simple random sample size for difference in proportionsnProp2sam
Simple random sample size for a proportion based on margin of errornPropMoe
Class-based nonresponse adjustmentsNRadjClass
Sample sizes for a nonresponse follow-up studyNRFUopt
Calculate a simple random sample size for estimating a proportionnWilson
Form nonresponse adjustment classes based on propensity scorespclass
Compute the roots of a quadratic equationquad_roots
Stopping rule for surveysSampStop
Survey of Mental Health Organizations Datasmho.N874
Survey of Mental Health Organizations Datasmho98
Allocate a sample to stratastrAlloc
Accounting data for some US cities with latitude and longitude of the city centroidsTest_Data_US
Third grade populationThirdGrade
TPV DataTPV
Compute the unit (population) variance for a variableunitVar
Compute moments of a variable from either a population or samplewtd.moments
Compute weighted variancewtdvar