data_pop, data_pop_st, data_pop_clust, data_pop_stclust, data_samp_srs, data_samp_stsrs, data_samp_clust, data_samp_stclust {bootsurv}

Populations and samples gerenated in the bootsurv package

Description

This package contains multiple datasets described below.

Datasets

data_pop

This is a population of size 6,000. This data set contains a column of generated study variable, labeled as study.variable.

data_pop_st

This dataset represents a population of size 17,800, divided into 5 strata. It includes a column for the generated study variable, labeled as study.variable, and a column identifying the strata, labeled as stratum. The subpopulation sizes within each stratum are as follows: 4,500, 6,300, 3,500, 2,000, and 1,500, respectively.

data_pop_clust

This dataset represents a population consisting of 10,048 units distributed across 200 clusters. The number of units within each cluster was generated using a Poisson distribution with a mean of 50. It includes columns for the generated study variable, labeled as study.variable, and cluster identification, denoted as cluster.

data_pop_stclust

This dataset represents a population with 14,511 units distributed across three strata, consisting of 100, 125, and 65 clusters, respectively. The number of units within each cluster was generated using a Poisson distribution with a mean of 50. It includes columns of the generated study variable, labeled as study.variable, stratum identification, labeled as stratum, and cluster identification within each stratum, labeled as cluster.

data_samp_srs

This dataset comprises a sample of size 1,850, obtained through simple random sampling without replacement from the data_pop dataset.

data_samp_stsrs

This dataset represents a sample of size 5,350 obtained through stratified simple random sampling without replacement from the stratified population data_pop_st. The sample consists of subsample sizes of 1,350, 1,900, 1,050, 600, and 450.

data_samp_clust

This sample was drawn using a two-stage cluster sampling method, with simple random sampling without replacement applied at each stage. The sample is drawn from the data_pop_clust dataset. In the first stage, approximately 20% of clusters were selected. Subsequently, within each selected cluster, approximately 15% of units were sampled.

data_samp_stclust

A stratified two-stage cluster sampling method is applied to draw this sample from the data_pop_stclust dataset. In each stratum, simple random sampling without replacement is applied at each stage. The first stage sampling fraction is approximately 20%, and the overall second stage sampling is approximately 15%.