R: Power Calculation for Two-Way Factorial Designs

# Power Calculation for Two-Way Factorial Designs

## Documentation for package ‘extraSuperpower’ version 1.6.2

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

## Help Pages

calculate_mean_matrix | Create input for simulation based two-way factorial experiments
effsize | Effect size calculation
exact_twoway_anova_power | Two-way factorial ANOVA exact sample size calculation for independent samples
gencorrelationmat | Function that generates a correlation matrix taking as input number of factors for each level, factor or factors that present correlation and rho value or values. Additionally, a mean matrix is required to check consistency.
gencovariancemat | Function that generates a covariance matrix taking as input a correlation matrix and a standard deviation matrix or value.
graph_twoway_assumptions | Graph modeled means and standard deviations of groups in two-way factorial design
plot_powercurves | Plots the output of test_twoway_nrange
simulate_twoway_nrange | Simulated independent and repeated measures two-way experiments over a set of sample sizes
test_power_overkn | Test simulated two-way factorial design experiments over different sample sizes.
twoway_simulation_correlated | Simulate measurements repeated over either or both factors of a two-way design
twoway_simulation_independent | Simulate independent measurements in a two-way factorial design
twoway_simulation_testing | Calculate power for global main effects and interaction from two-way factorial simulated data