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.

Install the latest version of this package by entering the following in R:
install.packages("easypower")
AuthorAaron McGarvey
Date of publication2015-11-06 05:49:52
MaintainerAaron McGarvey <amcgarve@mail.uoguelph.ca>
LicenseGPL (>= 3)
Version1.0.1

View on CRAN

Files

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.