# RProject8_3_bootstrap_location.r
# Problem 10.26 of Rice
# Hampson and Walker data on heats of sublimation of
# platinum,iridium, and rhodium
# To install these packages, uncomment the next two lines
#install.packages("MASS")
#install.packages("boot")
library(MASS)
## Warning: package 'MASS' was built under R version 3.1.3
library(boot)
## Warning: package 'boot' was built under R version 3.1.3
x.platinum=scan(file="Rice 3e Datasets/ASCII Comma/Chapter 10/platinum.txt")
x.iridium=scan(file="Rice 3e Datasets/ASCII Comma/Chapter 10/iridium.txt")
x.rhodium=scan(file="Rice 3e Datasets/ASCII Comma/Chapter 10/rhodium.txt")
# Parts (a)-(d)
x=x.platinum
hist(x)
![](data:image/png;base64,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)
stem(x)
##
## The decimal point is at the |
##
## 132 | 7
## 134 | 134578889900224488
## 136 | 36
## 138 |
## 140 | 2
## 142 | 3
## 144 |
## 146 | 58
## 148 | 8
boxplot(x)
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)
plot(x)
![](data:image/png;base64,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)
# (e)
# Measurements 8,9,10 are all very high as are measurements 14 and 15
# The data do not appear indepenent
# (f) Measures of location
mean(x); mean(x,trim=.1);mean(x,trim=.2);median(x); huber(x,k=1.5)[[1]]
## [1] 137.0462
## [1] 136.3091
## [1] 135.2875
## [1] 135.1
## [1] 135.3841
# (g) Standard error of the sample mean and approximate 90 percent conf. interval
x.stdev=sqrt(var(x))
x.mean.sterr=x.stdev/sqrt(length(x))
print(x.mean.sterr)
## [1] 0.8724542
alpha=0.10
z.upperalphahalf=qnorm(1-alpha/2)
x.mean=mean(x)
x.mean.ci<-c(-1,1)*z.upperalphahalf* x.mean.sterr + x.mean
print(x.mean); print(x.mean.ci)
## [1] 137.0462
## [1] 135.6111 138.4812
# parts (i), (j), (k).
# Bootstrap confidence intervals of different location measures
fcn.median<- function(x, d) {
return(median(x[d]))
}
fcn.mean<- function(x, d) {
return(mean(x[d]))
}
fcn.trimmedmean <- function(x, d, trim=0) {
return(mean(x[d], trim/length(x)))
}
fcn.huber<-function(x,d){
x.huber=huber(x[d],k=1.5)
return(x.huber[[1]])
}
# Bootstrap analysis of sample mean:
x.boot.mean= boot(x, fcn.mean, R=1000)
plot(x.boot.mean)
print(x.boot.mean$t0)
## [1] 137.0462
print(sqrt(var(x.boot.mean$t)))
## [,1]
## [1,] 0.8406306
boot.ci(x.boot.mean,conf=.95, type="basic")
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 1000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = x.boot.mean, conf = 0.95, type = "basic")
##
## Intervals :
## Level Basic
## 95% (135.2, 138.5 )
## Calculations and Intervals on Original Scale
title(paste("Sample Mean: StDev=",as.character(round(sqrt(var(x.boot.mean$t)),digits=4)),sep=""),
adj=1)
![](data:image/png;base64,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)
# Bootstrap analysis of sample median:
x.boot.median= boot(x, fcn.median, R=1000)
plot(x.boot.median)
title(paste("Median: StDev=",as.character(round(sqrt(var(x.boot.median$t)),digits=4)),sep=""),
adj=1)
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print(x.boot.median$t0)
## [1] 135.1
print(sqrt(var(x.boot.median$t)))
## [,1]
## [1,] 0.238632
boot.ci(x.boot.median,conf=.95, type="basic")
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 1000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = x.boot.median, conf = 0.95, type = "basic")
##
## Intervals :
## Level Basic
## 95% (134.4, 135.4 )
## Calculations and Intervals on Original Scale
# Bootstrap analysis of sample trimmed mean:
x.boot.trimmedmean= boot(x, fcn.trimmedmean,trim=.2, R=1000)
plot(x.boot.trimmedmean)
title(paste("Trimmed Mean: StDev=",as.character(round(sqrt(var(x.boot.trimmedmean$t)),digits=4)),sep=""),
adj=1)
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)
print(x.boot.trimmedmean$t0)
## [1] 137.0462
print(sqrt(var(x.boot.trimmedmean$t)))
## [,1]
## [1,] 0.833879
boot.ci(x.boot.trimmedmean,conf=.95, type="basic")
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 1000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = x.boot.trimmedmean, conf = 0.95, type = "basic")
##
## Intervals :
## Level Basic
## 95% (135.3, 138.6 )
## Calculations and Intervals on Original Scale
# Bootstrap analysis of Huber M estimate:
x.boot.huber= boot(x, fcn.huber, R=1000)
plot(x.boot.huber)
title(paste("Huber M Est: StDev=",as.character(round(sqrt(var(x.boot.huber$t)),digits=4)),sep=""),
adj=1)
![](data:image/png;base64,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)
print(x.boot.huber$t0)
## [1] 135.3841
print(sqrt(var(x.boot.huber$t)))
## [,1]
## [1,] 0.3827326
boot.ci(x.boot.huber,conf=.95, type="basic")
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 1000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = x.boot.huber, conf = 0.95, type = "basic")
##
## Intervals :
## Level Basic
## 95% (134.4, 135.9 )
## Calculations and Intervals on Original Scale