This function plots CIs that have been produced from /codebooteval.yhat.
Value
This returns a plot of CIs that have been produced from /codebooteval.yhat.
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
lmcalc.yhatbootbooteval.yhat
Examples
## Bootstrap regression results predicting paragraph
## comprehension based on three verbal tests: general info,
## sentence comprehension, & word classification
## Use HS dataset in MBESS
require ("MBESS")
data(HS.data)
## Regression
lm.out<-lm(paragrap~general+sentence+wordc,data=HS.data)
## Calculate regression metrics
regrOut<-calc.yhat(lm.out)
## Bootstrap results
require ("boot")
boot.out<-boot(HS.data,boot.yhat,100,lmOut=lm.out,regrout0=regrOut)
## Evaluate bootstrap results
result<-booteval.yhat(regrOut,boot.out,bty="perc")
## Plot results
## plotCI.yhat(regrOut$PredictorMetrics[-nrow(regrOut$PredictorMetrics),],
## result$upperCIpm,result$lowerCIpm, pid=which(colnames(regrOut$PredictorMetrics)
## %in% c("Beta","rs","CD:0","CD:1","CD:2","GenDom","Pratt","RLW") == TRUE),nr=3,nc=3)