Package: pwranova 1.1.5

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:Hiroyuki Muto [aut, cre]

pwranova_1.1.5.tar.gz
pwranova_1.1.5.zip(r-4.7-any)pwranova_1.1.5.zip(r-4.6-any)pwranova_1.1.5.zip(r-4.5-any)
pwranova_1.1.5.tgz(r-4.6-any)pwranova_1.1.5.tgz(r-4.5-any)
pwranova_1.1.5.tar.gz(r-4.7-any)pwranova_1.1.5.tar.gz(r-4.6-any)
pwranova_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pwranova/json (API)

# 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

On CRAN:

Conda:

4.20 score 4 stars 3 scripts 263 downloads 6 exports 0 dependencies

Last updated from:579b1ef86d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK127
source / vignettesOK151
linux-releaseOK120
macos-releaseOK156
macos-oldrelOK209
windows-develOK76
windows-releaseOK78
windows-oldrelOK78
wasm-releaseOK76

Exports:cohensf_to_peta2peta2_to_cohensfpwranovapwrcontrastpwrcortestpwrttest

Dependencies: