R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(1.6,2,2.6,3,2.6,2.9,2.5,2.4,1.5,1.1,0.6,0.9,1.1,1.5,1.7,1.2,0.4,-0.7,-1.4,-1.6,-1.2,-0.4,-0.2,-0.3,-0.5,0,-0.5,0.2,0.7,1.6,2.6,3.3,3.3,3.2,3.5,3.9,4.5,4.6,6.6,7.1,8.9,8.8,8.5,7.6,7.5,7.5,6.1,6.3,8.4,7.1,5.6,4.2,2.1,1.2,0.9,1.4,1.7,1.7,1.9,1.3,-0.7,0.3,0.8,0.9,1.1,2.5,2.7,3.3,4.2,3.8,3.8,3.2,2.9,1.9,1.7,1.6,1.7,1.2,0.7,-0.2,-1.5,-1.2,-1,0,-0.6,0.7,1.3,0.8,1,0.5,0.3,1,1,1.1,1.5,1.5,2,1.7,0.6,1.2,1.5,2.1,3.2,3.9,4.6,4.2,4.4,3.7,3.7,2.8,2.9,3.9,3.1,3,2.8,2.4,2.1,3.1,3,3.1,3.3,3.3,3.8,3.1,3.9,4,4.4,3.7,3.6,3.4,2.8,2.8,2.6,3.3,2.4,1.6,0.7,0,-1.1,-1.2,-1.3,-1.6,-1.3,-1.6,-1.1,-1,0.3,1.2,0.7,1.1,2.1,2.5,2.3,2.3,2.6,3.2,2.2,2.7,2.2,1.4,2.4,2,1.3,1.1,1.4,1.8,1.9,1.6)
> par2 = '12'
> par1 = '50'
> par2 <- '12'
> par1 <- '50'
> #'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)

Attaching package: 'boot'

The following object(s) are masked from 'package:lattice':

    melanoma

> 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'))

BLOCK BOOTSTRAP FOR TIME SERIES

Fixed Block Length of 12 

Call:
tsboot(tseries = x, statistic = boot.stat, R = par1, l = 12, 
    sim = "fixed")


Bootstrap Statistics :
    original      bias    std. error
t1* 2.155952  0.01891667   0.4949515
t2* 1.950000  0.05400000   0.4491307
t3* 3.650000 -0.19900000   0.5946608
> postscript(file="/var/fisher/rcomp/tmp/1x3jj1354561800.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/285ps1354561800.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/3xb091354561800.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4jhyj1354561800.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/515m71354561800.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/63ok31354561800.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,3],col='black',main='Density Plot',xlab='midrange')
> dev.off()
null device 
          1 
> z <- data.frame(cbind(r$t[,1],r$t[,2],r$t[,3]))
> colnames(z) <- list('mean','median','midrange')
> postscript(file="/var/fisher/rcomp/tmp/73lms1354561800.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Estimation Results of Blocked Bootstrap',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'statistic',header=TRUE)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,'Estimate',header=TRUE)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'IQR',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> q1 <- quantile(r$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/8f7k11354561800.tab") 
> 
> try(system("convert tmp/1x3jj1354561800.ps tmp/1x3jj1354561800.png",intern=TRUE))
character(0)
> try(system("convert tmp/285ps1354561800.ps tmp/285ps1354561800.png",intern=TRUE))
character(0)
> try(system("convert tmp/3xb091354561800.ps tmp/3xb091354561800.png",intern=TRUE))
character(0)
> try(system("convert tmp/4jhyj1354561800.ps tmp/4jhyj1354561800.png",intern=TRUE))
character(0)
> try(system("convert tmp/515m71354561800.ps tmp/515m71354561800.png",intern=TRUE))
character(0)
> try(system("convert tmp/63ok31354561800.ps tmp/63ok31354561800.png",intern=TRUE))
character(0)
> try(system("convert tmp/73lms1354561800.ps tmp/73lms1354561800.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  6.170   1.352   7.534