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.

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

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

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.