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ggpower 0.1.3

Reference
- Getting Started
- Choosing a Power Analysis
- Getting Started with the GUI
- Choosing the Right Module
- Scenario Guide
- Reference Validation
- Test Families
- t Tests
- Workspace Test Families
- ANOVA and Regression
- Exact and Proportion Tests
- Correlation and z Tests
- Nonparametric Tests
- Logistic and Poisson Regression
- Biomarker
- Biomarker Endpoints
- Biomarker Differential Expression
- Biomarker ROC and AUC Power
- Biomarker Diagnostic Accuracy
- Biomarker Survival
- Cox Prognostic Models
- Multiplicity and FDR
- Clinical Trials
- Clinical Trials
- Phase III Superiority Trials
- Non-Inferiority Trials
- Equivalence Trials (TOST)
- Simon Two-Stage Design
- Cluster RCT
- Survival Endpoints
- Binary and Count Endpoints
- Reference
- Support Matrix
- Analysis Modes
- Formula Reference
- Effect Size Conversions
- Calculator
- Approximation Catalog
- Publication-Ready Figures
Changelog

Compute Cohen's h for two proportions

Source: R/effect_size.R

effect_size_h.Rd

Compute Cohen's h for two proportions

Usage

effect_size_h(p1, p2)

Arguments

p1, p2: Proportions.

Value

Numeric h.

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