depb {pwr2ppl} | R Documentation |
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)
[Package pwr2ppl version 0.5.0 Index]