Statistical Power, Sample Size, and Detectable Effect Calculations

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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)