x <- c(15.13,15.25,15.33,15.36,15.40,15.40,15.41,15.47,15.54,15.55,15.59,15.65,15.75,15.86,15.89,15.94,15.93,15.95,15.99,15.99,16.06,16.08,16.07,16.11,16.15,16.18,16.30,16.42,16.49,16.50,16.58,16.64,16.66,16.81,16.91,16.92,16.95,17.11,17.16,17.16,17.27,17.34,17.39,17.43,17.45,17.50,17.56,17.65,17.62,17.70,17.72,17.71,17.74,17.75,17.78,17.80,17.86,17.88,17.89,17.94,17.98,18.10,18.14,18.19,18.23,18.24,18.27,18.30,18.34,18.36,18.36,18.40,18.43,18.47,18.56,18.58,18.61,18.61,18.69,18.74,18.75,18.81,18.85,18.88)
par2 = '12'
par1 = '750'
par2 <- '12'
par1 <- '750'
#'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
#Author: root
#To cite this work: Wessa P., (2012), Blocked Bootstrap Plot for Central Tendency (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_bootstrapplot.wasp/
#Source of accompanying publication: Office for Research, Development, and Education
#
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
if (par1 < 10) par1 = 10
if (par1 > 5000) par1 = 5000
if (par2 < 3) par2 = 3
if (par2 > length(x)) par2 = length(x)
library(lattice)
library(boot)
boot.stat <- function(s)
{
s.mean <- mean(s)
s.median <- median(s)
s.midrange <- (max(s) + min(s)) / 2
c(s.mean, s.median, s.midrange)
}
(r <- tsboot(x, boot.stat, R=par1, l=12, sim='fixed'))
postscript(file="/var/fisher/rcomp/tmp/12yke1385648962.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean')
grid()
dev.off()
postscript(file="/var/fisher/rcomp/tmp/2l40s1385648962.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median')
grid()
dev.off()
postscript(file="/var/fisher/rcomp/tmp/3fd4u1385648962.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange')
grid()
dev.off()
postscript(file="/var/fisher/rcomp/tmp/47pat1385648962.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean')
dev.off()
postscript(file="/var/fisher/rcomp/tmp/5xby41385648962.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median')
dev.off()
postscript(file="/var/fisher/rcomp/tmp/60zhv1385648962.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
densityplot(~r$t[,3],col='black',main='Density Plot',xlab='midrange')
dev.off()
z <- data.frame(cbind(r$t[,1],r$t[,2],r$t[,3]))
colnames(z) <- list('mean','median','midrange')
postscript(file="/var/fisher/rcomp/tmp/73j8k1385648962.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
grid()
dev.off()

#Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
load(file="/var/fisher/rcomp/createtable")

a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Estimation Results of Blocked Bootstrap',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'statistic',header=TRUE)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,'Estimate',header=TRUE)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'IQR',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
q1 <- quantile(r$t[,1],0.25)[[1]]
q3 <- quantile(r$t[,1],0.75)[[1]]
a<-table.element(a,q1)
a<-table.element(a,r$t0[1])
a<-table.element(a,q3)
a<-table.element(a,sqrt(var(r$t[,1])))
a<-table.element(a,q3-q1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
q1 <- quantile(r$t[,2],0.25)[[1]]
q3 <- quantile(r$t[,2],0.75)[[1]]
a<-table.element(a,q1)
a<-table.element(a,r$t0[2])
a<-table.element(a,q3)
a<-table.element(a,sqrt(var(r$t[,2])))
a<-table.element(a,q3-q1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'midrange',header=TRUE)
q1 <- quantile(r$t[,3],0.25)[[1]]
q3 <- quantile(r$t[,3],0.75)[[1]]
a<-table.element(a,q1)
a<-table.element(a,r$t0[3])
a<-table.element(a,q3)
a<-table.element(a,sqrt(var(r$t[,3])))
a<-table.element(a,q3-q1)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/var/fisher/rcomp/tmp/8apyg1385648963.tab") 

try(system("convert tmp/12yke1385648962.ps tmp/12yke1385648962.png",intern=TRUE))
try(system("convert tmp/2l40s1385648962.ps tmp/2l40s1385648962.png",intern=TRUE))
try(system("convert tmp/3fd4u1385648962.ps tmp/3fd4u1385648962.png",intern=TRUE))
try(system("convert tmp/47pat1385648962.ps tmp/47pat1385648962.png",intern=TRUE))
try(system("convert tmp/5xby41385648962.ps tmp/5xby41385648962.png",intern=TRUE))
try(system("convert tmp/60zhv1385648962.ps tmp/60zhv1385648962.png",intern=TRUE))
try(system("convert tmp/73j8k1385648962.ps tmp/73j8k1385648962.png",intern=TRUE))