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