easypower: Sample Size Estimation for Experimental Designs

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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.

Author
Aaron McGarvey
Date of publication
2015-11-06 05:49:52
Maintainer
Aaron McGarvey <amcgarve@mail.uoguelph.ca>
License
GPL (>= 3)
Version
1.0.1

View on CRAN

Man pages

easypower
Sample Size Calculations Using Power Analysis
n.multiway
Sample size calculations for factorial ANOVAs
n.oneway
Calculates the required sample size for a one-way ANOVA.

Files in this package

easypower
easypower/inst
easypower/inst/doc
easypower/inst/doc/User_Input.R
easypower/inst/doc/User_Input.html
easypower/inst/doc/User_Input.Rmd
easypower/NAMESPACE
easypower/R
easypower/R/power_calculations.R
easypower/R/names_levels_df.R
easypower/R/n_oneway.R
easypower/R/f2_functions.R
easypower/R/easypower.R
easypower/R/n_multiway.R
easypower/R/print_output_functions.R
easypower/vignettes
easypower/vignettes/User_Input.Rmd
easypower/MD5
easypower/build
easypower/build/vignette.rds
easypower/DESCRIPTION
easypower/man
easypower/man/n.multiway.Rd
easypower/man/n.oneway.Rd
easypower/man/easypower.Rd