pdf("g12.pdf");options(width=64) #setwd("C:\\Users\\kolassa\\Class555") setwd("~/Taught1/960-555/Data")
#*************************************************************/ # Data from http://lib.stat.cmu.edu/datasets/Arsenic */ # reformatted into ASCII on the course home page. Data re- */ # flect arsenic levels in toenail clippings; covariates in- */ # clude age, sex (1=M), categorical measures of quantities */ # used for drinking and cooking, arsenic in the water, and */ # arsenic in the nails. To make arsenic.dat from Arsenic, do*/ #antiword Arsenic|awk '((NR>39)&&(NR<61)){print}'>arsenic.dat*/ #*************************************************************/ arsenic<-read.table("arsenic.dat") names(arsenic)<-c("age","sex","drink","cook","water", "nails") arsenic$status<-(arsenic$water>=.0001)+0 arsenic$water[arsenic$water<.0001]<-.0001 arsenic$lnail<-log(arsenic$nails) arsenic$lwater<-log(arsenic$water) # Block 1 meds<-rep(NA,999) for(j in seq(length(meds))) meds[j]<-median(sample(arsenic$nails,length(arsenic$nails), replace=TRUE)) # Block 2 cat(ci<-quantile(meds,probs=c(.025,.975)),"\n") # Block 3 cat('\n Residual Bootstrap for Median\n') cat(ci<-2*median(arsenic$nails)-rev(ci),"\n")