R: Statistical Power, Sample Size, and Detectable Effect Calculations

# Statistical Power, Sample Size, and Detectable Effect Calculations

## Documentation for package ‘pwrss’ version 1.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

cles.to.d | Conversion from Cohen's d to Common Language Effect Size
cor.to.z | Conversion from a correlation to a z-value (Fisher's z-transformation)
cors.to.q | Conversion from a correlation Difference to Cohen's q
d.to.cles | Conversion from Cohen's d to Common Language Effect Size
etasq.to.f | Conversion from Eta-squared to Cohen's f
f.to.etasq | Conversion between Cohen's f and 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 | Helper function to converts joint probabilities to marginal probabilities for the McNemar test applied to paired binary data.
marginal.probs.2x2 | Helper function to converts marginal probabilities to joint probabilities for the McNemar test applied to paired binary data.
means.to.d | Conversion from Means and Standard Deviations to Cohen's d
means.to.etasq | Conversion from Means and Standard Deviations to Cohen's f and Eta-squared
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 Difference Between Two Proportions (Exact Method)
power.exact.twoprops | Power Analysis for Testing 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 Difference Between Two Proportions (Normal Approximation Method)
power.z.twoprops | Power Analysis for Testing 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 Difference Between Two Proportions (Normal Approximation Method)
pwrss.z.2props | Power Analysis for Testing 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)
q.to.cors | Conversion from a Cohen's q to a correlation difference
rsq.to.f | Conversion from R-squared to Cohen's f
z.to.cor | Conversion from a z-value to a correlation (inverse Fisher's z-transformation)