Package: hR 0.3.0

Dale Kube

hR: Better Data Engineering in Human Resources

Methods for data engineering in the human resources (HR) corporate domain. Designed for HR analytics practitioners and workforce-oriented data sets.

Authors:Dale Kube [aut, cre]

hR_0.3.0.tar.gz
hR_0.3.0.zip(r-4.5)hR_0.3.0.zip(r-4.4)hR_0.3.0.zip(r-4.3)
hR_0.3.0.tgz(r-4.5-any)hR_0.3.0.tgz(r-4.4-any)hR_0.3.0.tgz(r-4.3-any)
hR_0.3.0.tar.gz(r-4.5-noble)hR_0.3.0.tar.gz(r-4.4-noble)
hR_0.3.0.tgz(r-4.4-emscripten)hR_0.3.0.tgz(r-4.3-emscripten)
hR.pdf |hR.html
hR/json (API)

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

Bug tracker:https://github.com/dalekube/hr/issues

Datasets:
  • workforceHistory - Workforce history data for a sample team of employees and contractors.

On CRAN:

Conda:

analyticsdatadata-engineeringdata-sciencehuman-resources

5.02 score 21 stars 8 scripts 751 downloads 3 exports 6 dependencies

Last updated 12 days agofrom:c97acf82d0. Checks:1 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 16 2025
R-4.5-macNOTEMar 16 2025
R-4.5-linuxNOTEMar 16 2025
R-4.4-macNOTEMar 16 2025
R-4.4-linuxNOTEMar 16 2025
R-4.3-macNOTEMar 16 2025

Exports:hierarchyhierarchyStatshierarchyValid

Dependencies:data.tableevaluatehighrknitrxfunyaml

hR: Better Data Engineering in Human Resources

Rendered fromhR.Rmdusingknitr::rmarkdownon Mar 16 2025.

Last update: 2025-03-16
Started: 2018-11-27