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) }
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