For each level of dominance and pairs of predictors in the full model, this function indicates whether a predictor "x1" dominates "x2", predictor "x2" dominates "x1", or that dominance cannot be established between predictors.
Usage
dombin(domOut)
Arguments
domOut
Output from /codedominance
Details
For each level of dominance and pairs of predictors in the full model, this function indicates whether a predictor "x1" dominates "x2", predictor "x2" dominates "x1", or that dominance cannot be established between predictors.
Value
The function return a matrix that contains dominance level decisions (complete, conditional, and general) for each pair of predictors in the full model.
Author(s)
Kim Nimon <kim.nimon@gmail.com>
References
Nimon, K., & Oswald, F. L. (2013). Understanding the results of multiple linear regression: Beyond standardized regression coefficients. Organizational Research Methods, 16,
650-674.
See Also
apscalc.yhatcommonalitydominancerlw
Examples
## Predict paragraph comprehension based on three verbal
## tests: general info, sentence comprehension, & word
## classification
## Use HS dataset in MBESS
require ("MBESS")
data(HS.data)
## All-possible-subsets regression
apsOut=aps(HS.data,"paragrap",list("general", "sentence","wordc"))
## Dominance analysis
domOut=dominance(apsOut)
## Dominance analysis
dombin(domOut)