Knock Errors Off Nice Guesses R package Keng version 2026.3.19 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) divide a vector into three groups, (3) compute the cut-off values of Pearson's r with known sample size; (4) test the significance and compute the post-hoc power for Pearson's r with known sample size; (5) conduct a priori power analysis and plan the sample size for Pearson's r; (6) 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); (7) calculate PRE from partial correlation, Cohen's f, or f_squared; (8) conduct a priori power analysis and plan the sample size for one or a set of predictors in regression analysis; (9) conduct post-hoc power analysis for one or a set of predictors in regression analysis with known sample size; (10) randomly pick numbers for Chinese Super Lotto and Double Color Balls; (11) assess course objective achievement in Outcome-Based Education. Software Depends: R (>= 3.5) Imports: stats Suggests: ggplot2, knitr, rmarkdown, car, effectsize, tidyr, testthat (>= 3.0.0) Qingyao Zhang <qingyaozhang@outlook.com> Comprehensive R Archive Network (CRAN) Qingyao Zhang [aut, cre] (ORCID: <https://orcid.org/0000-0002-6891-5982>) CC BY 4.0 2026-03-19 application/tgz https://CRAN.R-project.org/package=Keng doi:10.32614/CRAN.package.Keng en-US