Package index • pwrss

All functions

power.f.ancova(): Power Analysis for One-, Two-, Three-Way ANOVA/ANCOVA Using Effect Size (F-Test)

power.t.contrast() power.t.contrasts(): Power Analysis for One-, Two-, Three-Way ANCOVA Contrasts and Multiple Comparisons (T-Tests)

factorial.contrasts(): Factorial Contrasts

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)

cor.to.z() cors.to.q() q.to.cors(): Conversion from Correlation Difference to Cohen's q

d.to.cles() cles.to.d(): Conversion from Cohen's d to Common Language Effect Size

f.to.etasq() etasq.to.f(): Conversion from Cohen's f to Eta-squared

joint.probs.2x2() 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

probs.to.h(): Conversion from Probability Difference to Cohen's h

probs.to.w(): Conversion from Probabilities to Cohen's w

rsq.to.f() f.to.rsq(): Conversion from Cohen's f to R-squared

power.z.onecor(): Power Analysis for One-Sample Correlation

power.z.twocors.steiger(): Power Analysis for Dependent Correlations (Steiger's Z-Test)

power.z.twocors(): Power Analysis for Independent Correlations

power.binom.test(): Power Analysis for the Generic Binomial Test

power.chisq.test(): Statistical Power for the Generic Chi-square Test

power.f.test(): Statistical Power for the Generic F-Test

power.t.test(): Statistical Power for the Generic T-Test

power.z.test(): Statistical Power for the Generic Z-Test

power.t.student() power.t.welch(): Power Analysis for Student's and Welch's T-Tests

power.np.wilcoxon(): Power Analysis for Non-parametric Rank-Based Tests (One-Sample, Independent, and Paired Designs)

power.exact.fisher(): Power Analysis for Fisher's Exact Test (Independent Proportions)

power.chisq.gof(): Power and Sample Size for Chi-square Goodness-of-Fit or Independence Tests

power.exact.mcnemar(): Power Analysis for McNemar's Exact Test (Paired Proportions)

power.z.oneprop() power.exact.oneprop(): Power Analysis for the Test of One Proportion (Normal Approximation and Exact Methods)

power.z.twoprops() power.exact.twoprops(): Power Analysis for Testing Difference Between Two Proportions (Normal Approximation and Exact Methods)

power.f.regression(): Power Analysis for Linear Regression: R-squared or R-squared Change (F-Test)

power.t.regression(): Power Analysis for Linear Regression: Single Coefficient (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.poisson(): Power Analysis for Poisson Regression Coefficient (Wald's z Test)

inflate.sample(): Inflate Sample Size for Attrition