Package: samplingin 1.0.7

samplingin: Dynamic Survey Sampling Solutions

A robust solution employing SRS (Simple Random Sampling), systematic and PPS (Probability Proportional to Size) sampling methods, ensuring a methodical and representative selection of data. Seamlessly allocate predetermined allocations to smaller levels.

Authors:Choerul Afifanto [aut, cre, cph]

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samplingin.pdf |samplingin.html✨
samplingin/json (API)
NEWS

# Install 'samplingin' in R:
install.packages('samplingin', repos = c('https://choerulafifanto.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/choerulafifanto/samplingin/issues

Datasets:

On CRAN:

Conda:

4.30 score 2 stars 1 scripts 371 downloads 2 exports 20 dependencies

Last updated 10 months agofrom:b3fa54df6d. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-winNOTEMar 07 2025
R-4.5-macNOTEMar 07 2025
R-4.5-linuxNOTEMar 07 2025
R-4.4-winNOTEMar 07 2025
R-4.4-macNOTEMar 07 2025
R-4.4-linuxNOTEMar 07 2025
R-4.3-winNOTEMar 07 2025
R-4.3-macNOTEMar 07 2025

Exports:doSamplingget_allocation

Dependencies:clidata.tabledplyrfansigenericsgluelifecyclelpSolvemagrittrMASSpillarpkgconfigR6rlangsamplingtibbletidyselectutf8vctrswithr

Introduction to samplingin

Rendered fromsamplingin-example.Rmdusingknitr::rmarkdownon Mar 07 2025.

Last update: 2024-05-10
Started: 2024-05-10