R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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(39,43,31,62,25,16,68,14,31,22,56,64,36,35,48,95,36,85,33,43,41,49,15,30,71,78,67,47,29,29,49,41,58,18,46,34,75,41,24,93,46,36,39,24,40,83,40,44,58,33,47,23,173,15,54,24,51,86,64,42,76,65,53,47,31,28,72,83,43,25,28,24,35,33,30,40,51,48,33,33,26,56,44,43,25,32,32,92,44,64,40,43,39,47,44,23,25,43,79,65,56,33,94,14,42,85,26,58,28,59,31,49,9,46,23,30,47,16,31,18,64,29,39,25,34,24,39,33,42,57,61,21,24,160,91,12,73,37,25,41,61,66,47,63,60,34,40,60,0,10,1,2,0,0,48,57,0,4,5,20,5,27,2,28)
> par2 = '12'
> par1 = '500'
> 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)
+ c(s.mean, s.median)
+ }
> (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* 42.61585 -0.2787927    2.879567
t2* 40.00000 -0.5990000    2.375075
> z <- data.frame(cbind(r$t[,1],r$t[,2]))
> colnames(z) <- list('mean','median')
> postscript(file="/var/wessaorg/rcomp/tmp/1ejfu1321279044.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> b <- boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
> grid()
> dev.off()
null device 
          1 
> b
$stats
         [,1] [,2]
[1,] 35.37805   36
[2,] 40.45122   39
[3,] 42.30793   40
[4,] 44.09451   41
[5,] 49.48171   44

$n
[1] 500 500

$conf
         [,1]     [,2]
[1,] 42.05049 39.85868
[2,] 42.56536 40.14132

$out
 [1] 32.90244 31.38415 33.50000 35.00000 35.00000 34.50000 35.00000 34.00000
 [9] 35.00000 35.00000 34.00000 35.00000 33.50000 33.00000 35.00000 33.50000
[17] 33.00000 34.00000 34.00000 31.00000 35.00000 35.50000 34.00000 34.00000
[25] 33.50000 35.00000 34.00000 34.00000 34.50000 35.00000 33.50000 33.50000
[33] 33.50000 35.50000 34.50000 35.00000 33.00000 35.00000 35.00000 34.00000
[41] 35.50000 31.00000 33.00000 35.00000 33.00000 33.50000 35.50000 46.00000
[49] 35.50000 35.50000 35.00000

$group
 [1] 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
[39] 2 2 2 2 2 2 2 2 2 2 2 2 2

$names
[1] "mean"   "median"

> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2rs1w1321279044.tab") 
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'95% Confidence Intervals',3,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'',1,TRUE)
> a<-table.element(a,'Mean',1,TRUE)
> a<-table.element(a,'Median',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Lower Bound',1,TRUE)
> a<-table.element(a,b$conf[1,1])
> a<-table.element(a,b$conf[1,2])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Upper Bound',1,TRUE)
> a<-table.element(a,b$conf[2,1])
> a<-table.element(a,b$conf[2,2])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/3jc7c1321279044.tab") 
> 
> try(system("convert tmp/1ejfu1321279044.ps tmp/1ejfu1321279044.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.924   0.077   0.994