indcorr: Compute Power for Comparing Two Independent Correlations...

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

Compute Power for Comparing Two Independent Correlations Takes correlations and range of values

Description

Compute Power for Comparing Two Independent Correlations Takes correlations and range of values

Usage

indcorr(r1, r2, nlow, nhigh, propn1 = 0.5, alpha = 0.05, tails = 2, by = 1)

Arguments

r1	Correlation for Group 1
r2	Correlation for Group 2
nlow	Starting sample size
nhigh	Ending sample size
propn1	Proportion of sample in first group (default is .50 for equally size groups)
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 Two Independent Correlations

Examples

indcorr(r1=.3,r2=.1,nlow=200,nhigh=800,by=50, tails=1)

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