Power Calculation for Two-Way Factorial Designs


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Documentation for package ‘extraSuperpower’ version 1.5.0

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