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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.
| Version: | 1.0.2 |
| Imports: | pwr (≥ 1.1-3) |
| Suggests: | knitr |
| Published: | 2024-03-10 |
| DOI: | 10.32614/CRAN.package.easypower |
| Author: | Aaron McGarvey |
| Maintainer: | Aaron McGarvey <amcgarvey271 at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| In views: | ExperimentalDesign |
| CRAN checks: | easypower results |
| Reference manual: | easypower.pdf |
| Vignettes: |
Factorial ANOVA Examples |
| Package source: | easypower_1.0.2.tar.gz |
| Windows binaries: | r-devel: easypower_1.0.2.zip, r-release: easypower_1.0.2.zip, r-oldrel: easypower_1.0.2.zip |
| macOS binaries: | r-release (arm64): easypower_1.0.2.tgz, r-oldrel (arm64): easypower_1.0.2.tgz, r-release (x86_64): easypower_1.0.2.tgz, r-oldrel (x86_64): easypower_1.0.2.tgz |
| Old sources: | easypower archive |
| Reverse imports: | PSS.Health |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.