Package: easypower 1.0.2
easypower: Sample Size Estimation for Experimental Designs
Power analysis is used in the estimation of sample sizes for experimental designs. Most programs and R packages will only output the highest recommended sample size to the user. Often the user input can be complicated and computing multiple power analyses for different treatment comparisons can be time consuming. This package simplifies the user input and allows the user to view all of the sample size recommendations or just the ones they want to see. The calculations used to calculate the recommended sample sizes are from the 'pwr' package.
Authors:
easypower_1.0.2.tar.gz
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easypower_1.0.2.tgz(r-4.4-any)easypower_1.0.2.tgz(r-4.3-any)
easypower_1.0.2.tar.gz(r-4.5-noble)easypower_1.0.2.tar.gz(r-4.4-noble)
easypower_1.0.2.tgz(r-4.4-emscripten)easypower_1.0.2.tgz(r-4.3-emscripten)
easypower.pdf |easypower.html✨
easypower/json (API)
# Install 'easypower' in R: |
install.packages('easypower', repos = c('https://amcgarvey93.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 months agofrom:833b2e26e4. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win | OK | Nov 06 2024 |
R-4.5-linux | OK | Nov 06 2024 |
R-4.4-win | OK | Nov 06 2024 |
R-4.4-mac | OK | Nov 06 2024 |
R-4.3-win | OK | Nov 06 2024 |
R-4.3-mac | OK | Nov 06 2024 |
Exports:n.multiwayn.oneway
Dependencies:pwr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Sample Size Calculations Using Power Analysis | easypower-package easypower |
Sample size calculations for factorial ANOVAs | n.multiway |
Calculates the required sample size for a one-way ANOVA. | n.oneway |