Package: pwranova 1.1.1
Hiroyuki Muto
pwranova: Power Analysis of Flexible ANOVA Designs and Related Tests
Provides functions for conducting power analysis in ANOVA designs, including between-, within-, and mixed-factor designs, with full support for both main effects and interactions. The package allows calculation of statistical power, required total sample size, significance level, and minimal detectable effect sizes expressed as partial eta squared or Cohen's f for ANOVA terms and planned contrasts. In addition, complementary functions are included for common related tests such as t-tests and correlation tests, making the package a convenient toolkit for power analysis in experimental psychology and related fields.
Authors:
pwranova_1.1.1.tar.gz
pwranova_1.1.1.zip(r-4.7)pwranova_1.1.1.zip(r-4.6)pwranova_1.1.1.zip(r-4.5)
pwranova_1.1.1.tgz(r-4.6-any)pwranova_1.1.1.tgz(r-4.5-any)
pwranova_1.1.1.tar.gz(r-4.7-any)pwranova_1.1.1.tar.gz(r-4.6-any)
pwranova_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pwranova/json (API)
NEWS
| # Install 'pwranova' in R: |
| install.packages('pwranova', repos = c('https://mutopsy.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mutopsy/pwranova/issues
Pkgdown/docs site:https://mutopsy.github.io
Last updated from:d265dd14e8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 109 | ||
| source / vignettes | OK | 182 | ||
| linux-release-x86_64 | OK | 106 | ||
| macos-release-arm64 | OK | 151 | ||
| macos-oldrel-arm64 | OK | 161 | ||
| windows-devel | OK | 97 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 147 | ||
| wasm-release | OK | 83 |
Exports:cohensf_to_peta2peta2_to_cohensfpwranovapwrcontrastpwrcortestpwrttest
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Convert Cohen's f to Partial Eta Squared | cohensf_to_peta2 |
| Convert Partial Eta Squared to Cohen's f | peta2_to_cohensf |
| Power Analysis for Between-, Within-, or Mixed-Factor ANOVA | pwranova |
| Power Analysis for Planned Contrast in Between- or Within-Factor ANOVA | pwrcontrast |
| Power Analysis for Pearson Correlation | pwrcortest |
| Power Analysis for One-/Two-Sample and Paired t Tests | pwrttest |