Package: resquin 0.1.1.9000


Matthias Roth
resquin: Response Quality Indicators for Survey Research
Calculate common survey data quality indicators for multi-item scales and matrix questions. Currently supports the calculation of response style indicators and response distribution indicators. For an overview on response quality indicators see Bhaktha N, Henning S, Clemens L (2024). 'Characterizing response quality in surveys with multi-item scales: A unified framework' <https://osf.io/9gs67/>.
Authors:
resquin_0.1.1.9000.tar.gz
resquin_0.1.1.9000.zip(r-4.7)resquin_0.1.1.9000.zip(r-4.6)resquin_0.1.1.9000.zip(r-4.5)
resquin_0.1.1.9000.tgz(r-4.6-any)resquin_0.1.1.9000.tgz(r-4.5-any)
resquin_0.1.1.9000.tar.gz(r-4.7-any)resquin_0.1.1.9000.tar.gz(r-4.6-any)
resquin_0.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
resquin/json (API)
NEWS
| # Install 'resquin' in R: |
| install.packages('resquin', repos = c('https://matroth.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/matroth/resquin/issues
Pkgdown/docs site:https://matroth.github.io
- nep - NEP-Scale GESIS Panel Campus File
Last updated from:765344d44a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 126 | ||
| source / vignettes | OK | 183 | ||
| linux-release-x86_64 | OK | 122 | ||
| macos-release-arm64 | OK | 115 | ||
| macos-oldrel-arm64 | OK | 169 | ||
| windows-devel | OK | 80 | ||
| windows-release | OK | 79 | ||
| windows-oldrel | OK | 91 | ||
| wasm-release | OK | 94 |
Exports:flag_respresp_distributionsresp_nondifferentiationresp_patternsresp_styles
Dependencies:cligluelifecyclemagrittrpillarpkgconfigpurrrrlangsliderstringitibbleutf8vctrswarp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Flag respondents based on response quality indicators | flag_resp |
| NEP-Scale GESIS Panel Campus File | nep |
| Plot function for resp_indicator objects | plot.resp_indicator |
| Compute response distribution indicators | resp_distributions |
| Compute response nondifferentiation indicators | resp_nondifferentiation |
| Compute response pattern indicators | resp_patterns |
| Compute response style indicators | resp_styles |
| Summary function for flag_resp() output | summary.flag_resp |
| Summary function for resp_indicator objects | summary.resp_indicator |