Hi guys, I am trying to familiar myself with bootstrapping using rms package and stuck on how to plot the bootstrap distribution. Would appreciate if somebody could help.
Thanks in advance. From http://stats.stackexchange.com/questions/64788/interpreting-a-logistic-regression-model-with-multiple-predictors library(rms) mydata <- read.csv("http://www.ats.ucla.edu/stat/data/binary.csv";) mylogit <- lrm(admit ~ gre, x=TRUE, y=TRUE, data = mydata) mylogit my.valid <- validate(mylogit, method="boot", B=1000) my.valid my.calib <- calibrate(mylogit, method="boot", B=1000) my.calib [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
