Package index • pwrss

All functions

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
power.binom.test(): Power Analysis for the Generic Binomial 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 (Exact Method)
power.exact.twoprops(): Power Analysis for Testing Difference Between Two Proportions (Exact Method)
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.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.wilcoxon(): Power Analysis for Non-parametric Rank-Based Tests (One-Sample, Independent, and Paired Designs)
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.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.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.onecor(): Power Analysis for One-Sample Correlation
power.z.oneprop(): Power Analysis for the Test of One Proportion (Normal Approximation Method)
power.z.poisson(): Power Analysis for Poisson Regression Coefficient (Wald's z Test)
power.z.test(): Statistical Power for the Generic z-Test
power.z.twocors(): Power Analysis for Independent Correlations
power.z.twocors.steiger(): Power Analysis for Dependent Correlations (Steiger's Z-Test)
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
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)