| plambdap |
Distribution functions for the Lambda prime / non-central Lambda distribution |
| 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 Analysis 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.onecor |
Power Analysis for One-Sample Correlation (Exact) |
| power.exact.oneprop |
Power Analysis for the Test of One Proportion (Exact Method) |
| power.exact.twoprop |
Power Analysis for Testing the Difference Between Two Proportions (Exact Method) |
| power.exact.twoprops |
Power Analysis for Testing the Difference Between Two Proportions (Exact Method) |
| 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.lp |
Statistical Power for the Lambda-Prime Distribution |
| power.lp.test |
Statistical Power for the Lambda-Prime Distribution |
| 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 t-Test |
| power.t.test |
Statistical Power for the Generic t-Test |
| power.t.welch |
Power Analysis for Welch's t-Test |
| 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 Method) |
| 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 the Difference Between Two Proportions (Normal Approximation Method) |
| power.z.twoprops |
Power Analysis for Testing the Difference Between Two Proportions (Normal Approximation Method) |
| 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 Analysis 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 t-Test |
| 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 t-Test |
| 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 t-Test |
| pwrss.z.2prop |
Power Analysis for Testing the Difference Between Two Proportions (Normal Approximation Method) |
| pwrss.z.2props |
Power Analysis for Testing the Difference Between Two Proportions (Normal Approximation Method) |
| 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 t-Test |
| 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 Method) |
| pwrss.z.reg |
Power Analysis for Linear Regression: Single Coefficient (T-Test) |
| pwrss.z.regression |
Power Analysis for Linear Regression: Single Coefficient (T-Test) |