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 |
| 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:
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