mu_from_ES: Convenience function to calculate the means for between...
In Superpower: Simulation-Based Power Analysis for Factorial Designs
mu_from_ES R Documentation
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).
Description
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).
Usage
mu_from_ES(K, ES)
Arguments
K
Number of groups (2, 3, or 4)
ES
Effect size (eta-squared)
Value
Returns vector of means
References
Albers, C., & Lakens, D. (2018). When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias. Journal of Experimental Social Psychology, 74, 187–195. https://doi.org/10.1016/j.jesp.2017.09.004
Examples
## Medium effect size (eta-squared), 2 groups
ES <- 0.0588
K <- 2
mu_from_ES(K = K, ES = ES)
Superpower documentation built on May 17, 2022, 5:08 p.m.
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| mu_from_ES | R Documentation |
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).
Description
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).
Usage
mu_from_ES(K, ES)
Arguments
K |
Number of groups (2, 3, or 4) |
ES |
Effect size (eta-squared) |
Value
Returns vector of means
References
Albers, C., & Lakens, D. (2018). When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias. Journal of Experimental Social Psychology, 74, 187–195. https://doi.org/10.1016/j.jesp.2017.09.004
Examples
## Medium effect size (eta-squared), 2 groups ES <- 0.0588 K <- 2 mu_from_ES(K = K, ES = ES)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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