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qol: Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs

The main goal is to make descriptive evaluations easier to create bigger and more complex outputs in less time with less code. Introducing format containers with multilabels <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p06ciqes4eaqo6n0zyqtz9p21nfb.htm>, a more powerful summarise which is capable to output every possible combination of the provided grouping variables in one go <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p0jvbbqkt0gs2cn1lo4zndbqs1pe.htm>, tabulation functions which can create any table in different styles <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/n1ql5xnu0k3kdtn11gwa5hc7u435.htm> and other more readable functions. The code is optimized to work fast even with datasets of over a million observations.

Version: 1.0.2
Depends: R (≥ 4.1.0)
Imports: data.table (≥ 1.17.8), collapse (≥ 2.1.2), openxlsx2 (≥ 1.19)
Suggests: testthat (≥ 3.0.0)
Published: 2025-10-14
DOI: 10.32614/CRAN.package.qol
Author: Tim Siebenmorgen [aut, cre, cph]
Maintainer: Tim Siebenmorgen <qol_package at proton.me>
License: MIT + file LICENSE
URL: https://github.com/s3rdia/qol, https://s3rdia.github.io/qol/
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: qol results

Documentation:

Reference manual: qol.html , qol.pdf

Downloads:

Package source: qol_1.0.2.tar.gz
Windows binaries: r-devel: qol_1.0.2.zip, r-release: qol_1.0.2.zip, r-oldrel: qol_1.0.2.zip
macOS binaries: r-release (arm64): qol_1.0.2.tgz, r-oldrel (arm64): qol_1.0.2.tgz, r-release (x86_64): qol_1.0.2.tgz, r-oldrel (x86_64): qol_1.0.2.tgz
Old sources: qol archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.