Package: Keng 2024.11.25
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.
Authors:
Keng_2024.11.25.tar.gz
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Keng.pdf |Keng.html✨
Keng/json (API)
NEWS
| # Install 'Keng' in R: |
| install.packages('Keng', repos = c('https://qyaozh.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/qyaozh/keng/issues
- depress - Depression and Coping
Last updated 6 hours agofrom:9f5c26dca3. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 24 2024 |
| R-4.5-win | OK | Nov 24 2024 |
| R-4.5-linux | OK | Nov 24 2024 |
| R-4.4-win | OK | Nov 24 2024 |
| R-4.4-mac | OK | Nov 24 2024 |
| R-4.3-win | OK | Nov 24 2024 |
| R-4.3-mac | OK | Nov 24 2024 |
Exports:calc_PREcompare_lmcut_rpower_lmScaletest_r
Dependencies:
Partial Regression
Rendered fromPartialRegression.Rmdusingknitr::rmarkdownon Nov 24 2024.Last update: 2024-11-21
Started: 2024-11-05
Plan Sample Size
Rendered fromPlanSampleSize.Rmdusingknitr::rmarkdownon Nov 24 2024.Last update: 2024-11-24
Started: 2024-11-24
PRE
Rendered fromPRE.Rmdusingknitr::rmarkdownon Nov 24 2024.Last update: 2024-11-24
Started: 2024-11-06
