qindbt.sub <-
function(isub,x,y,qval){
#
# Perform regression using x[isub] to predict y[isub]
# isub is a vector of length n,
# a bootstrap sample from the sequence of integers
# 1, 2, 3, ..., n
#
# This function is used by other functions when computing
# bootstrap estimates.
#
# regfun is some regression method already stored in R
# It is assumed that regfun$coef contains the intercept and slope
# estimates produced by regfun. The regression methods written for
# this book, plus regression functions in R, have this property.
#
# x is assumed to be a matrix containing values of the predictors.
#
xmat<-matrix(x[isub,],nrow(x),ncol(x))
regboot<-NA
for(i in 1:length(qval)){
regboot[i]<-qreg(xmat,y[isub],qval[i])$coef[2]
}
regboot
}
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