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)

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> x <- c(1.324,1.310,1.310,1.310,1.310,1.338,1.338,1.338,1.358,1.358,1.358,1.358,1.351,1.351,1.351,1.351,1.351,1.372,1.372,1.372,1.372,1.386,1.386,1.386,1.386,1.414,1.414,1.414,1.414,1.443,1.443,1.443,1.443,1.443,1.443,1.443,1.443,1.443,1.448,1.448,1.448,1.463,1.463,1.463,1.456,1.456,1.456,1.456,1.456,1.440,1.440,1.440,1.440,1.429,1.429,1.429,1.419,1.419,1.435,1.435,1.435,1.435,1.435,1.465,1.465,1.438,1.438,1.394,1.394,1.394,1.423,1.423,1.423,1.460,1.460,1.460,1.460,1.472,1.472,1.472,1.451,1.451,1.451,1.400,1.421,1.421,1.421,1.421,1.421,1.421,1.450,1.450,1.450,1.450,1.463,1.463,1.463,1.463,1.463,1.463,1.463,1.463,1.459,1.459,1.459,1.459,1.480,1.480,1.480,1.480,1.498,1.498,1.498,1.498,1.498,1.498,1.498,1.498,1.498,1.511,1.511)
> 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* 1.430322 -0.001391273  0.01177378
t2* 1.443000 -0.003516000  0.01235228
> z <- data.frame(cbind(r$t[,1],r$t[,2]))
> colnames(z) <- list('mean','median')
> postscript(file="/var/wessaorg/rcomp/tmp/1447w1321358439.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,] 1.398190 1.419
[2,] 1.421335 1.435
[3,] 1.429517 1.443
[4,] 1.437636 1.448
[5,] 1.456529 1.463

$n
[1] 500 500

$conf
         [,1]     [,2]
[1,] 1.428365 1.442081
[2,] 1.430668 1.443919

$out
 [1] 1.394132 1.393479 1.395661 1.395306 1.394777 1.394000 1.400000 1.358000
 [9] 1.372000 1.414000 1.414000 1.414000 1.414000 1.414000 1.394000 1.414000
[17] 1.414000 1.372000 1.414000 1.394000 1.414000 1.394000 1.386000

$group
 [1] 1 1 1 1 1 2 2 2 2 2 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/297i01321358440.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/33olo1321358440.tab") 
> 
> try(system("convert tmp/1447w1321358439.ps tmp/1447w1321358439.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.851   0.092   0.933