Survey Sampling Methods for Teaching and Practice


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Documentation for package ‘sampleone’ version 0.1.0

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