depcorr0: Compute Power for Comparing Two Dependent Correlations, No...

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

Compute Power for Comparing Two Dependent Correlations, No Variables in Common Takes correlations and range of values. First variable in each pair is termed predictor, second is DV

Description

Compute Power for Comparing Two Dependent Correlations, No Variables in Common Takes correlations and range of values. First variable in each pair is termed predictor, second is DV

Usage

depcorr0(
  r12,
  rxy,
  r1x,
  r1y,
  r2x,
  r2y,
  nlow,
  nhigh,
  alpha = 0.05,
  tails = 2,
  by = 1
)

Arguments

r12	Correlation between the predictor and DV (first set of measures)
rxy	Correlation between the predictor and DV (second set of measures)
r1x	Correlation between the predictor (first measure) and the predictor variable (first measure)
r1y	Correlation between the predictor (first measure) and the dependent variable (second measure)
r2x	Correlation between the DV (first measure) and the predictor variable (first measure)
r2y	Correlation between the DV (first measure) and the dependent variable (second measure)
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 Two Dependent Correlations, No Variables in Common

Examples

depcorr0(r12=.4,rxy=.7,r1x=.3,r1y=.1,r2x=.45,r2y=.35,nlow=20,nhigh=200,by=10, tails=2)

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