dombin | R Documentation |
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.
aps
calc.yhat
commonality
dominance
rlw
## 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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