Package: sampleone 0.1.0

sampleone: Survey Sampling Methods for Teaching and Practice

Planning, selection, and estimation for surveys under the main probability sampling designs taught in introductory sampling courses: simple random sampling with and without replacement, stratified sampling (proportional, Neyman, and cost-based allocation), systematic sampling, one- and two-stage cluster sampling, and ratio and regression estimators. Functions accept a superset of the inputs a given formula requires and silently ignore arguments that are not needed for the selected computation. Each function returns a structured object with the point estimate, the associated variance and confidence interval, a step-by-step breakdown of the calculation, and a short pedagogical note suggesting related methods to explore, making the package suitable both for applied survey work and for classroom use. Methods follow Cochran (1977, ISBN:0-471-16240-X) and Bolfarine & Bussab (2005, ISBN:8521203675), among others referenced in each function's documentation.

Authors:Miguel Luiz de Almeida Pinto [aut, cre], Mariano Martinez Espinosa [aut]

sampleone_0.1.0.tar.gz
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sampleone_0.1.0.tgz(r-4.6-any)sampleone_0.1.0.tgz(r-4.5-any)
sampleone_0.1.0.tar.gz(r-4.7-any)sampleone_0.1.0.tar.gz(r-4.6-any)
sampleone_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sampleone/json (API)

# Install 'sampleone' in R:

install.packages('sampleone', repos = c('https://mdelapi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mdelapi/sampleone/issues

On CRAN:

4.18 score 45 exports 1 dependencies

Last updated from:1dec215168. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	107
source / vignettes	OK	176
linux-release	OK	112
macos-release	OK	167
macos-oldrel	OK	182
windows-devel	OK	75
windows-release	OK	66
windows-oldrel	OK	69
wasm-release	OK	90

Exports:aas_ajustar_perdas aas_comparar_reposicao aas_estima_media aas_estima_proporcao aas_estima_total aas_tamanho_amostra aas_tamanho_media aas_tamanho_proporcao amostra_estimadores amostragem_ajustar_deff_resposta amostragem_ajustar_resposta amostragem_comparar_planos cong_estima cong1_ajustar_deff cong1_estima_media cong1_estima_proporcao cong1_tamanho_media cong1_tamanho_proporcao cong2_estima_media cong2_estima_proporcao cong2_estima_razao_media estr_alocacao_custo estr_alocacao_neyman estr_alocacao_proporcional estr_estima_media estr_estima_proporcao estr_tamanho_amostra estr_tamanho_media estr_tamanho_proporcao pop_media pop_proporcao pop_total razao_estima_media razao_estima_R razao_estima_total razao_tamanho_media razao_tamanho_R razao_tamanho_total razao_variancia_piloto razao_vs_regressao_decidir reg_ajustar reg_estima_media reg_teste_origem sist_intervalo sist_selecionar_amostra

Dependencies:withr

Catalogo de formulas: da apostila as funcoes do sampleone

Rendered fromcatalogo-formulas.Rmdusingknitr::rmarkdown

Last update: 2026-09-20
Started: 2026-09-20

Help page	Topics
Adjust a sample size by a flat percentage buffer ("acrescimo")	aas_ajustar_perdas
Compare the "with replacement" and "without replacement" designs (EPA/deff)	aas_comparar_reposicao
Estimate the population mean under simple random sampling (AAS)	aas_estima_media
Estimate a population proportion under simple random sampling (AAS)	aas_estima_proporcao
Estimate the population total under simple random sampling (AAS)	aas_estima_total
Sample size for AAS: automatic formula selection (umbrella function)	aas_tamanho_amostra
Sample size to estimate a population mean (AAS)	aas_tamanho_media
Sample size to estimate a population proportion (AAS)	aas_tamanho_proporcao
Sample-based estimators (mean, variance, proportion)	amostra_estimadores
Adjust a sample size for design effect and expected response rate	amostragem_ajustar_deff_resposta
Adjust a sample size for a minimum expected response rate	amostragem_ajustar_resposta
Compare the variance of different sampling plans for the same problem	amostragem_comparar_planos
Umbrella estimator for two-stage cluster sampling	cong_estima
Adjust a cluster/element sample size for design effect and response rate	cong1_ajustar_deff
Estimate the population mean under one-stage cluster sampling	cong1_estima_media
Estimate the population proportion under one-stage cluster sampling	cong1_estima_proporcao
Sample size (number of clusters) to estimate a mean (one-stage cluster sampling)	cong1_tamanho_media
Sample size (number of clusters) to estimate a proportion (one-stage cluster sampling)	cong1_tamanho_proporcao
Estimate the population mean under two-stage cluster sampling	cong2_estima_media
Estimate the population proportion under two-stage cluster sampling	cong2_estima_proporcao
Estimate the population mean via ratio estimator (two-stage cluster sampling, M unknown)	cong2_estima_razao_media
Cost-based optimum allocation of a stratified sample	estr_alocacao_custo
Neyman (optimum) allocation of a stratified sample	estr_alocacao_neyman
Proportional allocation of a stratified sample	estr_alocacao_proporcional
Estimate the population mean under stratified sampling	estr_estima_media
Estimate the population proportion under stratified sampling	estr_estima_proporcao
Sample size for stratified sampling: automatic formula selection (umbrella)	estr_tamanho_amostra
Sample size for stratified sampling: mean (proportional / Neyman / cost)	estr_tamanho_media
Sample size for stratified sampling: proportion (proportional / Neyman / cost)	estr_tamanho_proporcao
Population mean	pop_media
Population proportion	pop_proporcao
Population total	pop_total
Print method for sampling_result objects	print.sampling_result
Ratio estimator of the population mean	razao_estima_media
Ratio estimator of the population ratio R	razao_estima_R
Ratio estimator of the population total	razao_estima_total
Sample size to estimate the population mean via the ratio estimator	razao_tamanho_media
Sample size to estimate the population ratio R	razao_tamanho_R
Sample size to estimate the population total via the ratio estimator	razao_tamanho_total
Pilot-sample variance estimate for the ratio estimator	razao_variancia_piloto
Ratio vs. regression: full side-by-side comparison (umbrella function)	razao_vs_regressao_decidir
Fit a simple linear regression (ratio/regression estimator groundwork)	reg_ajustar
Regression estimator of the population mean	reg_estima_media
Decide between the ratio and regression estimators	reg_teste_origem
Sampling interval for systematic sampling	sist_intervalo
Select a systematic sample	sist_selecionar_amostra
Summary method for sampling_result objects	summary.sampling_result

Package: sampleone 0.1.0

sampleone: Survey Sampling Methods for Teaching and Practice

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