Package: Keng 2024.11.17
Qingyao Zhang
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 and PRE (Proportional Reduction in Error, also called partial R-squared or partial Eta-squared).
Authors:
Keng_2024.11.17.tar.gz
Keng_2024.11.17.tar.gz(r-4.5-noble)Keng_2024.11.17.tar.gz(r-4.4-noble)
Keng_2024.11.17.tgz(r-4.4-emscripten)Keng_2024.11.17.tgz(r-4.3-emscripten)
Keng.pdf |Keng.html✨
Keng/json (API)
NEWS
| # Install 'Keng' in R: |
| install.packages('Keng', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/qyaozh/keng/issues
- depress - Depression and Coping
Last updated 1 days agofrom:991c46ff1a. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 18 2024 |
| R-4.5-linux | OK | Nov 18 2024 |
Exports:compare_lmcut_rScaletest_r
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compare lm()'s fitted outputs using PRE and R-squared. | compare_lm |
| Cut-off values of r given the sample size n. | cut_r |
| Depression and Coping | depress |
| Scale a vector | Scale |
| Test r using the t-test given r and n. | test_r |
