R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(178600
+ ,181600
+ ,178500
+ ,176700
+ ,183500
+ ,175900
+ ,179800
+ ,186500
+ ,182700
+ ,182800
+ ,178600
+ ,183300
+ ,182900
+ ,191400
+ ,189300
+ ,192200
+ ,187900
+ ,193900
+ ,189100
+ ,193100
+ ,194800
+ ,200200
+ ,211500
+ ,202100
+ ,200300
+ ,199200
+ ,204900
+ ,207300
+ ,200000
+ ,197700
+ ,202200
+ ,200200
+ ,208300
+ ,215100
+ ,210700
+ ,208100
+ ,209000
+ ,211000
+ ,210200
+ ,205500
+ ,211400
+ ,211700
+ ,209300
+ ,207500
+ ,203300
+ ,207100
+ ,206900
+ ,228700
+ ,226900
+ ,265000
+ ,227100
+ ,228100
+ ,226500
+ ,225200
+ ,217800
+ ,221300
+ ,215300
+ ,231300
+ ,227100
+ ,237800
+ ,230200
+ ,233400
+ ,231100
+ ,237200
+ ,243700
+ ,239700
+ ,248400
+ ,241000
+ ,254500
+ ,242800
+ ,268300
+ ,253900
+ ,262100
+ ,264100
+ ,261000
+ ,269300
+ ,260400
+ ,263200
+ ,279200
+ ,272200
+ ,269200
+ ,289600
+ ,283200
+ ,284300
+ ,283000
+ ,289100
+ ,289600
+ ,289100
+ ,287400
+ ,279600
+ ,289300
+ ,295000
+ ,299600
+ ,293600
+ ,294400
+ ,290200
+ ,301000
+ ,307900
+ ,298800
+ ,310300
+ ,293900
+ ,305000
+ ,311300
+ ,317300
+ ,296200
+ ,306800
+ ,291800
+ ,301900
+ ,314600
+ ,321500
+ ,329400
+ ,311700
+ ,309700
+ ,306500
+ ,307100
+ ,301300
+ ,292200
+ ,310100
+ ,316800
+ ,284400
+ ,284600
+ ,301200
+ ,287600
+ ,314300
+ ,298200
+ ,299400
+ ,301900
+ ,265500
+ ,287100
+ ,274000
+ ,290100
+ ,263100
+ ,245200
+ ,258600
+ ,259800
+ ,269800
+ ,274600
+ ,274800
+ ,271100
+ ,257800
+ ,290300
+ ,262200
+ ,270000
+ ,290600)
> par2 = '12'
> par1 = '50'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> 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* 249466.0   616.3333   12057.279
t2* 258200.0 -4049.0000   21229.890
t3* 252650.0  -960.0000    4463.137
> postscript(file="/var/www/html/freestat/rcomp/tmp/1e4ad1273314983.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/2pvry1273314983.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/3pvry1273314983.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/4pvry1273314983.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/5z4811273314983.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/6z4811273314983.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$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$t[,3]))
Warning message:
In data.row.names(row.names, rowsi, i) :
  some row.names duplicated: 2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50 --> row.names NOT used
> colnames(z) <- list('mean','median','midrange')
> postscript(file="/var/www/html/freestat/rcomp/tmp/7z4811273314983.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
Warning message:
In bxp(list(stats = c(228688.888888889, 241627.083333333, 248131.597222222,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Estimation Results of Blocked Bootstrap',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'statistic',header=TRUE)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,'Estimate',header=TRUE)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'IQR',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> q1 <- quantile(r$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/www/html/freestat/rcomp/tmp/865nv1273314983.tab") 
> 
> try(system("convert tmp/1e4ad1273314983.ps tmp/1e4ad1273314983.png",intern=TRUE))
character(0)
> try(system("convert tmp/2pvry1273314983.ps tmp/2pvry1273314983.png",intern=TRUE))
character(0)
> try(system("convert tmp/3pvry1273314983.ps tmp/3pvry1273314983.png",intern=TRUE))
character(0)
> try(system("convert tmp/4pvry1273314983.ps tmp/4pvry1273314983.png",intern=TRUE))
character(0)
> try(system("convert tmp/5z4811273314983.ps tmp/5z4811273314983.png",intern=TRUE))
character(0)
> try(system("convert tmp/6z4811273314983.ps tmp/6z4811273314983.png",intern=TRUE))
character(0)
> try(system("convert tmp/7z4811273314983.ps tmp/7z4811273314983.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.494   1.582   2.749