Sample Size Calculations Using Power Analysis

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Description

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. Currently, one-way ANOVAs n.oneway and factorial ANOVAs n.multiway are supported. The effect size utilized by the functions is eta-squared which is equivalent to percentage variance. It is used in the input for all of the functions so that the user may use one standard effect size for all of their calculations. The calculations used to calculate the recommended sample sizes are from the 'pwr' package. Future updates are planned to add more experimental designs.

Details

Package: easypower
Type: Package
Version: 1.0.1
Date: 2015-11-04
License: GPL (>=3)

Author(s)

Author: Aaron McGarvey amcgarve@mail.uoguelph.ca
Maintainer: Aaron McGarvey amcgarve@mail.uoguelph.ca