Package index • pwrss

All functions
`power.f.ancova()`	Power Analysis for One-, Two-, Three-Way ANOVA/ANCOVA Using Effect Size (F-Test)
`power.t.contrast()` `power.t.contrasts()`	Power Analysis for One-, Two-, Three-Way ANCOVA Contrasts and Multiple Comparisons (T-Tests)
`factorial.contrasts()`	Factorial Contrasts
`power.f.ancova.keppel()`	Power Analysis for One-Way ANOVA/ANCOVA Using Means and Standard Deviations (F test)
`power.f.ancova.shieh()`	Power Analysis for One-, Two-, Three-Way ANCOVA Using Means, Standard Deviations, and (Optionally) Contrasts (F test)
`power.f.mixed.anova()`	Power Analysis for Mixed-Effects Analysis of Variance (F-Test)
`cor.to.z()` `cors.to.q()` `q.to.cors()`	Conversion from Correlation Difference to Cohen's q
`d.to.cles()` `cles.to.d()`	Conversion from Cohen's d to Common Language Effect Size
`f.to.etasq()` `etasq.to.f()`	Conversion from Cohen's f to Eta-squared
`joint.probs.2x2()` `marginal.probs.2x2()`	Conversion Between Joint and Marginal Probabilities for the McNemar Test
`means.to.d()`	Conversion from Means and Standard Deviations to Cohen's d
`probs.to.h()`	Conversion from Probability Difference to Cohen's h
`probs.to.w()`	Conversion from Probabilities to Cohen's w
`rsq.to.f()` `f.to.rsq()`	Conversion from Cohen's f to R-squared
`power.z.onecor()`	Power Analysis for One-Sample Correlation
`power.z.twocors.steiger()`	Power Analysis for Dependent Correlations (Steiger's Z-Test)
`power.z.twocors()`	Power Analysis for Independent Correlations
`power.binom.test()`	Power Analysis for the Generic Binomial Test
`power.chisq.test()`	Statistical Power for the Generic Chi-square Test
`power.f.test()`	Statistical Power for the Generic F-Test
`power.t.test()`	Statistical Power for the Generic T-Test
`power.z.test()`	Statistical Power for the Generic Z-Test
`power.t.student()` `power.t.welch()`	Power Analysis for Student's and Welch's T-Tests
`power.np.wilcoxon()`	Power Analysis for Non-parametric Rank-Based Tests (One-Sample, Independent, and Paired Designs)
`power.exact.fisher()`	Power Analysis for Fisher's Exact Test (Independent Proportions)
`power.chisq.gof()`	Power and Sample Size for Chi-square Goodness-of-Fit or Independence Tests
`power.exact.mcnemar()`	Power Analysis for McNemar's Exact Test (Paired Proportions)
`power.z.oneprop()` `power.exact.oneprop()`	Power Analysis for the Test of One Proportion (Normal Approximation and Exact Methods)
`power.z.twoprops()` `power.exact.twoprops()`	Power Analysis for Testing Difference Between Two Proportions (Normal Approximation and Exact Methods)
`power.f.regression()`	Power Analysis for Linear Regression: R-squared or R-squared Change (F-Test)
`power.t.regression()`	Power Analysis for Linear Regression: Single Coefficient (T-Test)
`power.z.logistic()`	Power Analysis for Logistic Regression Coefficient (Wald's Z-Test)
`power.z.mediation()`	Power Analysis for Indirect Effects in a Mediation Model (Z, Joint, and Monte Carlo Tests)
`power.z.poisson()`	Power Analysis for Poisson Regression Coefficient (Wald's z Test)
`inflate.sample()`	Inflate Sample Size for Attrition

Reference

All functions