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dombin

Dominance Analysis


Description

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

Examples

## 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)
     }

yhat

Interpreting Regression Effects

v2.0-3
GPL (>= 2)
Authors
Kim Nimon <kim.nimon@gmail.com>, Fred Oswald, and J. Kyle Roberts.
Initial release
2020-12-31

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