regint: Compute Power for Regression Interaction...

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

Compute Power for Regression Interaction (Correlation/Coefficient Approach)

Description

Compute Power for Regression Interaction (Correlation/Coefficient Approach)

Usage

regint(
  Group1,
  Group2,
  sx1 = 1,
  sx2 = 1,
  sy1 = 1,
  sy2 = 1,
  nlow,
  nhigh,
  alpha = 0.05,
  Prop_n1 = 0.5,
  by = 2,
  Estimates = 1
)

Arguments

Group1	Estimates (r or b) for Group 1
Group2	Estimates (r or b) for Group 2
sx1	Standard deviation of predictor, group 1 (defaults to 1)
sx2	Standard deviation of predictor, group 2 (defaults to 1)
sy1	Standard deviation of outcome, group 1 (defaults to 1)
sy2	Standard deviation of outcome, group 2 (defaults to 1)
nlow	starting sample size
nhigh	ending sample size
alpha	Type I error (default is .05)
Prop_n1	Proportion of Sample in First Group (defaults to equal sample sizes)
by	incremental increase in sample (e.g. nlow = 10, nhigh = 24, by = 2, produces estimates of 10, 12, and 14)
Estimates	1 for Correlations (default), 2 for coefficients

Value

Power for Regression Interaction (Correlation/Coefficient Approach)

Examples

regint(Group1=-.26,Group2=.25, alpha=.05,Prop_n1=0.5,nlow=110, nhigh=140,by=2,Estimates=1)

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