Settings |
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Set/get global Superpower options |
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ANOVA |
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Design |
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Design function used to specify the parameters to be used in simulations |
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Methods for design_aov objects |
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Power |
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Simulation function used to estimate power |
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Simulates an exact dataset (mu, sd, and r represent empirical, not population, mean and covariance matrix) from the design to calculate power |
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Compute power for emmeans contrasts |
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Convenience function to plot power across a range of sample sizes. |
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Methods for sim_result objects |
ANCOVA |
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Power Calculations for Factorial ANCOVAs |
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Power Calculations for ANCOVA Contrasts |
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Methods for ancova_power objects |
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Justify your AlphaCompromise functions for finding an optimal alpha level |
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Compute standardized alpha level based on unstandardized alpha level and the number of observations N. |
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Justify your alpha level by minimizing or balancing Type 1 and Type 2 error rates for ANOVAs. |
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Justify your alpha level by minimizing or balancing Type 1 and Type 2 error rates. |
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Compute standardized alpha level based on unstandardized alpha level and the number of observations N. |
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Optimizing function to achieve desired power based on a standardized alpha level. |
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Methods for opt_alpha objects |
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Sensitivity Functions |
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Plot out power sensitivity plots for t or F tests |
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Other Power Functions |
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Power Calculations for an F-test |
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Power Calculations for a one-way ANCOVA |
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Analytic power calculation for one-way between designs. |
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Analytic power calculation for one-way within designs. |
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Analytic power calculation for two-way between designs. |
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Analytic power calculation for three-way between designs. |
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Convenience function to calculate the means for between designs with one factor (One-Way ANOVA). Can be used to determine the means that should yield a specified effect sizes (expressed in Cohen's f). |