depb: Power for Comparing Dependent Coefficients in Multiple...

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

Power for Comparing Dependent Coefficients in Multiple Regression with Two or Three Predictors Requires correlations between all variables as sample size. Means, sds, and alpha are option. Also computes Power(All)

Description

Power for Comparing Dependent Coefficients in Multiple Regression with Two or Three Predictors Requires correlations between all variables as sample size. Means, sds, and alpha are option. Also computes Power(All)

Usage

depb(ry1, ry2, ry3 = NULL, r12, r13 = NULL, r23 = NULL, n = NULL, alpha = 0.05)

Arguments

ry1	Correlation between DV (y) and first predictor (1)
ry2	Correlation between DV (y) and second predictor (2)
ry3	Correlation between DV (y) and third predictor (3)
r12	Correlation between first (1) and second predictor (2)
r13	Correlation between first (1) and third predictor (3)
r23	Correlation between second (2) and third predictor (3)
n	Total Sample size
alpha	Type I error (default is .05)

Value

Power for Comparing Dependent Coefficients in Multiple Regression with Two or Three Predictors

Examples

depb(ry1=.40, ry2=.40, ry3=-.40, r12=-.15, r13=-.60, r23=.25,n=110, alpha=.05)

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