sampleone-package: sampleone: Survey Sampling Methods for Teaching and Practice

In sampleone: Survey Sampling Methods for Teaching and Practice

sampleone: Survey Sampling Methods for Teaching and Practice

Description

Planning, selection, and estimation for surveys under simple random sampling (with/without replacement), stratified sampling, systematic sampling, one- and two-stage cluster sampling, and ratio/regression estimators. Developed to accompany the "Nocoes de Amostragem" course at DEs-ICET-UFMT (Prof. Dr. Mariano Martinez Espinosa).

Details

See vignette("catalogo-formulas", package = "sampleone") for a full map from course-notes equations to package functions.

Function families

• ⁠pop_*()⁠, ⁠amostra_*()⁠ – Cap. 2, basic population/sample concepts.

• ⁠aas_*()⁠ – Cap. 3, simple random sampling.

• ⁠estr_*()⁠ – Cap. 4, stratified sampling.

• ⁠sist_*()⁠ – Cap. 5, systematic sampling.

• ⁠cong1_*()⁠, ⁠cong2_*()⁠, cong_estima() – Cap. 6, cluster sampling.

• ⁠reg_*()⁠, ⁠razao_*()⁠ – Cap. 7, regression and ratio estimators.

• ⁠amostragem_*()⁠ – cross-cutting utilities (response-rate adjustment, comparison of sampling plans).

Every function returns an object of class sampling_result with print()/summary() methods – see ?print.sampling_result.

Author(s)

Maintainer: Miguel Luiz de Almeida Pinto [e-mail]

Authors:

• Miguel Luiz de Almeida Pinto [e-mail]

• Mariano Martinez Espinosa (Author of the source course material (course notes) this package implements)

See Also

Useful links:

• https://github.com/mdelapi/sampleone

• Report bugs at https://github.com/mdelapi/sampleone/issues

sampleone documentation built on Oct. 13, 2026, 5:07 p.m.