Dominance Analysis
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.
dombin(domOut)
domOut | 
 Output from /codedominance  | 
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.
The function return a matrix that contains dominance level decisions (complete, conditional, and general) for each pair of predictors in the full model.
Kim Nimon <kim.nimon@gmail.com>
Nimon, K., & Oswald, F. L. (2013). Understanding the results of multiple linear regression: Beyond standardized regression coefficients. Organizational Research Methods, 16, 650-674.
## Predict paragraph comprehension based on three verbal
  ## tests: general info, sentence comprehension, & word
  ## classification
  ## Use HS dataset in MBESS 
     if (require("MBESS")){
     data(HS)
  ## All-possible-subsets regression
     apsOut=aps(HS,"t6_paragraph_comprehension",
                list("t5_general_information", "t7_sentence","t8_word_classification"))
  ## Dominance analysis
     domOut=dominance(apsOut)
  ## Dominance analysis
     dombin(domOut)
     }Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.