dombin: Dominance Analysis

In yhat: Interpreting Regression Effects

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 <[e-mail]>

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

aps calc.yhat commonality dominance rlw

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 documentation built on Oct. 11, 2023, 1:08 a.m.