The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

stenR: Standardization of Raw Discrete Questionnaire Scores

An user-friendly framework to preprocess raw item scores of questionnaires into factors or scores and standardize them. Standardization can be made either by their normalization in representative sample, or by import of premade scoring table.

Version: 0.6.9
Depends: R (≥ 4.1)
Imports: cli, data.table, dplyr, moments, rlang, R6, stats
Suggests: covr, ggplot2, jsonlite, knitr, rmarkdown, SimMultiCorrData, testthat (≥ 3.0.0)
Published: 2022-08-19
DOI: 10.32614/CRAN.package.stenR
Author: Michal Kosinski ORCID iD [aut, cre]
Maintainer: Michal Kosinski <kosinski.mich at gmail.com>
License: MIT + file LICENSE
URL: https://statismike.github.io/stenR/
NeedsCompilation: no
Materials: README
CRAN checks: stenR results

Documentation:

Reference manual: stenR.pdf
Vignettes: Tour from data to results
stenR usage

Downloads:

Package source: stenR_0.6.9.tar.gz
Windows binaries: r-devel: stenR_0.6.9.zip, r-release: stenR_0.6.9.zip, r-oldrel: stenR_0.6.9.zip
macOS binaries: r-release (arm64): stenR_0.6.9.tgz, r-oldrel (arm64): stenR_0.6.9.tgz, r-release (x86_64): stenR_0.6.9.tgz, r-oldrel (x86_64): stenR_0.6.9.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stenR to link to this page.

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.