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Keng: Knock Errors Off Nice Guesses

Miscellaneous functions and data used in psychological research and teaching. Keng currently has a built-in dataset depress, and could (1) scale a vector; (2) compute the cut-off values of Pearson's r with known sample size; (3) test the significance and compute the post-hoc power for Pearson's r with known sample size; (4) conduct a priori power analysis and plan the sample size for Pearson's r; (5) 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); (6) calculate PRE from partial correlation, Cohen's f, or f_squared; (7) conduct a priori power analysis and plan the sample size for one or a set of predictors in regression analysis; (8) conduct post-hoc power analysis for one or a set of predictors in regression analysis with known sample size; (9) randomly pick numbers for Chinese Super Lotto and Double Color Balls; (10) assess course objective achievement in Outcome-Based Education.

Version:2025.10.8
Depends:R (≥ 2.10)
Imports:stats
Suggests:ggplot2,knitr,rmarkdown,car,effectsize,tidyr,testthat (≥ 3.0.0)
Published:2025-10-09
DOI:10.32614/CRAN.package.Keng
Author:Qingyao ZhangORCID iD [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.html ,Keng.pdf
Vignettes:PRE (source,R code)
assessCOA (source,R code)
commonSampleSizes (source,R code)
PartialRegression (source,R code)
PlanSampleSize (source,R code)

Downloads:

Package source: Keng_2025.10.8.tar.gz
Windows binaries: r-devel:Keng_2025.10.8.zip, r-release:Keng_2025.10.8.zip, r-oldrel:Keng_2025.10.8.zip
macOS binaries: r-release (arm64):Keng_2025.10.8.tgz, r-oldrel (arm64):Keng_2025.10.8.tgz, r-release (x86_64):Keng_2025.10.8.tgz, r-oldrel (x86_64):Keng_2025.10.8.tgz
Old sources: Keng archive

Linking:

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