R version 2.9.0 (2009-04-17)
Copyright (C) 2009 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(255.00
+ ,280.20
+ ,299.90
+ ,339.20
+ ,374.20
+ ,393.50
+ ,389.20
+ ,381.70
+ ,375.20
+ ,369.00
+ ,357.40
+ ,352.10
+ ,346.50
+ ,342.90
+ ,340.30
+ ,328.30
+ ,322.90
+ ,314.30
+ ,308.90
+ ,294.00
+ ,285.60
+ ,281.20
+ ,280.30
+ ,278.80
+ ,274.50
+ ,270.40
+ ,263.40
+ ,259.90
+ ,258.00
+ ,262.70
+ ,284.70
+ ,311.30
+ ,322.10
+ ,327.00
+ ,331.30
+ ,333.30
+ ,321.40
+ ,327.00
+ ,320.00
+ ,314.70
+ ,316.70
+ ,314.40
+ ,321.30
+ ,318.20
+ ,307.20
+ ,301.30
+ ,287.50
+ ,277.70
+ ,274.40
+ ,258.80
+ ,253.30
+ ,251.00
+ ,248.40
+ ,249.50
+ ,246.10
+ ,244.50
+ ,243.60
+ ,244.00
+ ,240.80
+ ,249.80
+ ,248.00
+ ,259.40
+ ,260.50
+ ,260.80
+ ,261.30
+ ,259.50
+ ,256.60
+ ,257.90
+ ,256.50
+ ,254.20
+ ,253.30
+ ,253.80
+ ,255.50
+ ,257.10
+ ,257.30
+ ,253.20
+ ,252.80
+ ,252.00
+ ,250.70
+ ,252.20
+ ,250.00
+ ,251.00
+ ,253.40
+ ,251.20
+ ,255.60
+ ,261.10
+ ,258.90
+ ,259.90
+ ,261.20
+ ,264.70
+ ,267.10
+ ,266.40
+ ,267.70
+ ,268.60
+ ,267.50
+ ,268.50
+ ,268.50
+ ,270.50
+ ,270.90
+ ,270.10
+ ,269.30
+ ,269.80
+ ,270.10
+ ,264.90
+ ,263.70
+ ,264.80
+ ,263.70
+ ,255.90
+ ,276.20
+ ,360.10
+ ,380.50
+ ,373.70
+ ,369.80
+ ,366.60
+ ,359.30
+ ,345.80
+ ,326.20
+ ,324.50
+ ,328.10
+ ,327.50
+ ,324.40
+ ,316.50
+ ,310.90
+ ,301.50
+ ,291.70
+ ,290.40
+ ,287.40
+ ,277.70
+ ,281.60
+ ,288.00
+ ,276.00
+ ,272.90
+ ,283.00
+ ,283.30
+ ,276.80
+ ,284.50
+ ,282.70
+ ,281.20
+ ,287.40
+ ,283.10
+ ,284.00
+ ,285.50
+ ,289.20
+ ,292.50
+ ,296.40
+ ,305.20
+ ,303.90
+ ,311.50
+ ,316.30
+ ,316.70
+ ,322.50
+ ,317.10
+ ,309.80
+ ,303.80
+ ,290.30
+ ,293.70
+ ,291.70
+ ,296.50
+ ,289.10
+ ,288.50
+ ,293.80
+ ,297.70
+ ,305.40
+ ,302.70
+ ,302.50
+ ,303.00
+ ,294.50
+ ,294.10
+ ,294.50
+ ,297.10
+ ,289.40
+ ,292.40
+ ,287.90
+ ,286.60
+ ,280.50
+ ,272.40
+ ,269.20
+ ,270.60
+ ,267.30
+ ,262.50
+ ,266.80
+ ,268.80
+ ,263.10
+ ,261.20
+ ,266.00
+ ,262.50
+ ,265.20
+ ,261.30
+ ,253.70
+ ,249.20
+ ,239.10
+ ,236.40
+ ,235.20
+ ,245.20
+ ,246.20
+ ,247.70
+ ,251.40
+ ,253.30
+ ,254.80
+ ,250.00
+ ,249.30
+ ,241.50
+ ,243.30
+ ,248.00
+ ,253.00
+ ,252.90
+ ,251.50
+ ,251.60
+ ,253.50
+ ,259.80
+ ,334.10
+ ,448.00
+ ,445.80
+ ,445.00
+ ,448.20
+ ,438.20
+ ,439.80
+ ,423.40
+ ,410.80
+ ,408.40
+ ,406.70
+ ,405.90
+ ,402.70
+ ,405.10
+ ,399.60
+ ,386.50
+ ,381.40
+ ,375.20
+ ,357.70
+ ,359.00
+ ,355.00
+ ,352.70
+ ,344.40
+ ,343.80
+ ,338.00
+ ,339.00
+ ,333.30
+ ,334.40
+ ,328.30
+ ,330.70
+ ,330.00
+ ,331.60
+ ,351.20
+ ,389.40
+ ,410.90
+ ,442.80
+ ,462.80
+ ,466.90
+ ,461.70
+ ,439.20
+ ,430.30
+ ,416.10
+ ,402.50
+ ,397.30
+ ,403.30
+ ,395.90
+ ,387.80
+ ,378.60
+ ,377.10
+ ,370.40
+ ,362.00
+ ,350.30
+ ,348.20
+ ,344.60
+ ,343.50
+ ,342.80
+ ,347.60
+ ,346.60
+ ,349.50
+ ,342.10
+ ,342.00
+ ,342.80
+ ,339.30
+ ,348.20
+ ,333.70
+ ,334.70
+ ,354.00
+ ,367.70
+ ,363.30
+ ,358.40
+ ,353.10
+ ,343.10
+ ,344.60
+ ,344.40
+ ,333.90
+ ,331.70
+ ,324.30
+ ,321.20
+ ,322.40
+ ,321.70
+ ,320.50
+ ,312.80
+ ,309.70
+ ,315.60
+ ,309.70
+ ,304.60
+ ,302.50
+ ,301.50
+ ,298.80
+ ,291.30
+ ,293.60
+ ,294.60
+ ,285.90
+ ,297.60
+ ,301.10
+ ,293.80
+ ,297.70
+ ,292.90
+ ,292.10
+ ,287.20
+ ,288.20
+ ,283.80
+ ,299.90
+ ,292.40
+ ,293.30
+ ,300.80
+ ,293.70
+ ,293.10
+ ,294.40
+ ,292.10
+ ,291.90
+ ,282.50
+ ,277.90
+ ,287.50
+ ,289.20
+ ,285.60
+ ,293.20
+ ,290.80
+ ,283.10
+ ,275.00
+ ,287.80
+ ,287.80
+ ,287.40
+ ,284.00
+ ,277.80
+ ,277.60
+ ,304.90
+ ,294.00
+ ,300.90
+ ,324.00
+ ,332.90
+ ,341.60
+ ,333.40
+ ,348.20
+ ,344.70
+ ,344.70
+ ,329.30
+ ,323.50
+ ,323.20
+ ,317.40
+ ,330.10
+ ,329.20
+ ,334.90
+ ,315.80
+ ,315.40
+ ,319.60
+ ,317.30
+ ,313.80
+ ,315.80
+ ,311.30)
> 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* 308.3508 0.2337822    7.951710
t2* 296.4500 2.7234000    9.774488
> z <- data.frame(cbind(r$t[,1],r$t[,2]))
Warning message:
In data.row.names(row.names, rowsi, i) :
  some row.names duplicated: 2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271 [... truncated]
> colnames(z) <- list('mean','median')
> postscript(file="/var/www/html/rcomp/tmp/1shbo1289482577.ps",horizontal=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,] 288.4472 277.8
[2,] 302.9386 292.4
[3,] 308.3893 297.6
[4,] 313.7267 303.9
[5,] 327.6411 320.5

$n
[1] 500 500

$conf
         [,1]     [,2]
[1,] 307.6270 296.7874
[2,] 309.1516 298.4126

$out
 [1] 332.0786 330.6286 337.0519 331.1072 326.6000 332.1000 322.1000 323.2000
 [9] 327.5000 324.5000 329.2500 267.7000 321.9000 270.4000 325.3500 323.2000
[17] 322.2500 321.3500 330.4000

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

$names
[1] "mean"   "median"

> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/www/html/rcomp/tmp/2z08i1289482577.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/www/html/rcomp/tmp/3ar7l1289482577.tab") 
> 
> try(system("convert tmp/1shbo1289482577.ps tmp/1shbo1289482577.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.058   0.193   1.169