depcorr1: Compute Power for Comparing Two Dependent Correlations, One...

In pwr2ppl: Power Analyses for Common Designs (Power to the People)

Compute Power for Comparing Two Dependent Correlations, One Variable in Common Takes correlations and range of values

Description

Compute Power for Comparing Two Dependent Correlations, One Variable in Common Takes correlations and range of values

Usage

depcorr1(r1y, r2y, r12, nlow, nhigh, alpha = 0.05, tails = 2, by = 1)

Arguments

r1y	Correlation between the first predictor and the dependent variable
r2y	Correlation between the second predictor and the dependent variable
r12	Correlation between the first predictor and the second predictor
nlow	Starting sample size
nhigh	Ending sample size
alpha	Type I error (default is .05)
tails	one or two-tailed tests (default is 2)
by	Incremental increase in sample size from low to high

Value

Power for Comparing Dependent Correlations, One Variable in Common

Examples

depcorr1(r1y=.3,r2y=.04,r12 = .2, nlow=100,nhigh=300,by=10, tails=2)

pwr2ppl documentation built on Sept. 6, 2022, 5:06 p.m.