boot.yhat: Bootstrap metrics produced from /codecalc.yhat

In yhat: Interpreting Regression Effects

Bootstrap metrics produced from /codecalc.yhat

Description

This function is input to boot to bootstrap metrics computed from calc.yhat.

Usage

  boot.yhat(data, indices, lmOut,regrout0)

Arguments

data	Original dataset
indices	Vector of indices which define the bootstrap sample
lmOut	Ouput of /codelm
regrout0	Output of /codecalc.yhat

Details

This function is input to boot to bootstrap metrics computed from calc.yhat.

Value

The output of boot.yhat when used in conjunction with boot is of class boot and is not further described here. The output is designed to be useful as input for booteval.yhat

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

lm calc.yhat boot booteval.yhat

Examples

  ## Bootstrap regression results predicting paragraph     
  ## comprehension based on three verbal tests: general info, 
  ## sentence comprehension, & word classification
 
  ## Use HS dataset in MBESS 
     if (require ("MBESS")){
     data(HS)

  ## Regression
     lm.out<-lm(t6_paragraph_comprehension~
                t5_general_information+t7_sentence+t8_word_classification,data=HS)

  ## Calculate regression metrics
     regrOut<-calc.yhat(lm.out)

  ## Bootstrap results
     require ("boot")
     boot.out<-boot(HS,boot.yhat,100,lmOut=lm.out,regrout0=regrOut)
     }

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