Keng: Knock Errors Off Nice Guesses
Miscellaneous functions and data used in Qingyao's psychological research and teaching. Keng currently has a built-in dataset depress, and could (1) scale a vector, (2) test the significance and compute the cut-off values of Pearson's r without raw data, (3) compare lm()'s fitted outputs using R-squared, f_squared, post-hoc power, and PRE (Proportional Reduction in Error, also called partial R-squared or partial Eta-squared). (4) Calculate PRE from partial correlation, Cohen's f, or f_squared. (5) Compute the post-hoc power for one or a set of predictors in regression analysis without raw data, (6) Plan the sample size for one or a set of predictors in regression analysis.
| Version: | 2024.11.25 |
| Depends: | R (≥ 2.10) |
| Imports: | stats |
| Suggests: | knitr, rmarkdown, car, effectsize, testthat (≥ 3.0.0) |
| Published: | 2024-11-24 |
| DOI: | 10.32614/CRAN.package.Keng |
| Author: | Qingyao Zhang 
[aut, cre] |
| Maintainer: | Qingyao Zhang <qingyaozhang at outlook.com> |
| BugReports: | https://github.com/qyaozh/Keng/issues |
| License: | CC BY 4.0 |
| URL: | https://github.com/qyaozh/Keng |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | Keng results |
Documentation:
| Reference manual: | Keng.pdf |
| Vignettes: |
PRE (source, R code) PartialRegression (source, R code) PlanSampleSize (source, R code) |
Downloads:
| Package source: | Keng_2024.11.25.tar.gz |
| Windows binaries: | r-devel: Keng_2024.11.17.zip, r-release: Keng_2024.11.17.zip, r-oldrel: Keng_2024.11.17.zip |
| macOS binaries: | r-release (arm64): Keng_2024.11.17.tgz, r-oldrel (arm64): Keng_2024.11.17.tgz, r-release (x86_64): Keng_2024.11.25.tgz, r-oldrel (x86_64): Keng_2024.11.25.tgz |
| Old sources: | Keng archive |
Linking:
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