R: Power Analysis for Research Experiments

# Power Analysis for Research Experiments

## Documentation for package ‘pwr4exp’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

corAR1 | AR(1) Correlation Structure
corARMA | ARMA(p,q) Correlation Structure
corCAR1 | Continuous AR(1) Correlation Structure
corClasses | Correlation Structure Classes
corCompSymm | Compound Symmetry Correlation Structure
corExp | Exponential Correlation Structure
corGaus | Gaussian Correlation Structure
corLin | Linear Correlation Structure
corRatio | Rational Quadratics Correlation Structure
corSpher | Spherical Correlation Structure
corSymm | General Correlation Structure
design.COD | Creation of Standard Experimental Designs
design.CRD | Creation of Standard Experimental Designs
design.LSD | Creation of Standard Experimental Designs
design.RCBD | Creation of Standard Experimental Designs
design.SPD | Creation of Standard Experimental Designs
designCOD | Creation of Standard Experimental Designs
designCRD | Creation of Standard Experimental Designs
designLSD | Creation of Standard Experimental Designs
designRCBD | Creation of Standard Experimental Designs
designSPD | Creation of Standard Experimental Designs
df.cod | Create a data frame for Crossover design
df.crd | Create a data frame of completely randomized design
df.lsd | Create a data frame for Latin square design
df.rcbd | Create a data frame of randomized complete block design
df.spd | Create data frame for split-plot design
milk | An exemplary dataset of a 4x4 crossover design with 2 squares
mkdesign | Create a Design Object for Power Calculation
pwr.anova | Power of omnibus tests
pwr.contrast | Power of contrasts
pwr.summary | Power for model coefficients