R version 2.10.1 (2009-12-14)
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(131.676
+ ,135.050
+ ,129.070
+ ,137.792
+ ,139.762
+ ,142.917
+ ,144.198
+ ,142.648
+ ,152.170
+ ,136.022
+ ,138.142
+ ,138.135
+ ,135.027
+ ,132.911
+ ,133.976
+ ,137.012
+ ,119.610
+ ,118.106
+ ,120.383
+ ,133.185
+ ,131.416
+ ,134.248
+ ,134.397
+ ,127.728
+ ,131.837
+ ,125.955
+ ,134.187
+ ,143.291
+ ,145.074
+ ,149.812
+ ,144.668
+ ,147.253
+ ,145.568
+ ,155.564
+ ,155.872
+ ,156.323
+ ,158.010
+ ,155.598
+ ,154.785
+ ,157.294
+ ,162.938
+ ,157.283
+ ,166.074
+ ,169.282
+ ,172.552
+ ,174.055
+ ,175.409
+ ,173.696
+ ,171.283
+ ,173.322
+ ,170.717
+ ,174.229
+ ,175.339
+ ,173.511
+ ,175.839
+ ,173.816
+ ,173.990
+ ,174.777
+ ,174.819
+ ,176.726
+ ,176.199
+ ,180.952
+ ,176.663
+ ,182.346
+ ,180.605
+ ,182.497
+ ,187.856
+ ,190.020
+ ,190.108
+ ,193.288
+ ,193.230
+ ,199.068
+ ,195.076
+ ,191.563
+ ,191.067
+ ,186.665
+ ,185.508
+ ,184.371
+ ,183.046
+ ,175.714
+ ,175.768
+ ,171.029
+ ,170.465
+ ,170.102
+ ,156.389
+ ,124.291
+ ,99.360
+ ,86.675
+ ,85.056
+ ,128.236
+ ,164.257
+ ,162.401
+ ,152.779
+ ,156.005
+ ,153.387
+ ,153.190
+ ,148.840
+ ,144.211
+ ,145.953
+ ,145.542
+ ,150.271
+ ,147.489
+ ,143.824
+ ,134.754
+ ,131.736
+ ,126.304
+ ,125.511
+ ,125.495
+ ,130.133
+ ,126.257
+ ,110.323
+ ,98.417
+ ,105.749
+ ,120.665
+ ,124.075
+ ,127.245
+ ,146.731
+ ,144.979
+ ,148.210
+ ,144.670
+ ,142.970
+ ,142.524
+ ,146.142
+ ,146.522
+ ,148.128
+ ,148.798
+ ,150.181
+ ,152.388
+ ,155.694
+ ,160.662
+ ,155.520
+ ,158.262
+ ,154.338
+ ,158.196
+ ,160.371
+ ,154.856
+ ,150.636
+ ,145.899
+ ,141.242
+ ,140.834
+ ,141.119
+ ,139.104
+ ,134.437
+ ,129.425
+ ,123.155
+ ,119.273
+ ,120.472
+ ,121.523
+ ,121.983
+ ,123.658
+ ,124.794
+ ,124.827
+ ,120.382
+ ,117.395
+ ,115.790
+ ,114.283
+ ,117.271
+ ,117.448
+ ,118.764
+ ,120.550
+ ,123.554
+ ,125.412
+ ,124.182
+ ,119.828
+ ,115.361
+ ,114.226
+ ,115.214
+ ,115.864
+ ,114.276
+ ,113.469
+ ,114.883
+ ,114.172
+ ,111.225
+ ,112.149
+ ,115.618
+ ,118.002
+ ,121.382
+ ,120.663
+ ,128.049)
> 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)
> if (par1 < 10) par1 = 10
> if (par1 > 5000) par1 = 5000
> library(lattice)
> library(boot)

Attaching package: 'boot'


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

	 melanoma 

> boot.stat <- function(s,i)
+ {
+ s.mean <- mean(s[i])
+ s.median <- median(s[i])
+ s.midrange <- (max(s[i]) + min(s[i])) / 2
+ c(s.mean, s.median, s.midrange)
+ }
> (r <- boot(x,boot.stat, R=par1, stype='i'))

ORDINARY NONPARAMETRIC BOOTSTRAP


Call:
boot(data = x, statistic = boot.stat, R = par1, stype = "i")


Bootstrap Statistics :
    original    bias    std. error
t1* 145.1189 -0.393725    1.800318
t2* 144.2110 -0.585300    1.986220
t3* 142.0620 -0.636460    2.005018
> postscript(file="/var/yougetitorg/rcomp/tmp/1evwr1304452905.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/yougetitorg/rcomp/tmp/2rgzy1304452905.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/yougetitorg/rcomp/tmp/3sn7k1304452905.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/yougetitorg/rcomp/tmp/4cssz1304452905.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean')
> dev.off()
null device 
          1 
> postscript(file="/var/yougetitorg/rcomp/tmp/5tbjf1304452905.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median')
> dev.off()
null device 
          1 
> postscript(file="/var/yougetitorg/rcomp/tmp/66qxe1304452905.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$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$t[,3]))
> colnames(z) <- list('mean','median','midrange')
> postscript(file="/var/yougetitorg/rcomp/tmp/70k1u1304452905.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
Warning message:
In bxp(list(stats = c(141.069033519553, 143.645910614525, 144.737081005587,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/yougetitorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/yougetitorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Estimation Results of Bootstrap',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'statistic',header=TRUE)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,'Estimate',header=TRUE)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'IQR',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> q1 <- quantile(r$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/yougetitorg/rcomp/tmp/8r4wg1304452905.tab") 
> 
> try(system("convert tmp/1evwr1304452905.ps tmp/1evwr1304452905.png",intern=TRUE))
character(0)
> try(system("convert tmp/2rgzy1304452905.ps tmp/2rgzy1304452905.png",intern=TRUE))
character(0)
> try(system("convert tmp/3sn7k1304452905.ps tmp/3sn7k1304452905.png",intern=TRUE))
character(0)
> try(system("convert tmp/4cssz1304452905.ps tmp/4cssz1304452905.png",intern=TRUE))
character(0)
> try(system("convert tmp/5tbjf1304452905.ps tmp/5tbjf1304452905.png",intern=TRUE))
character(0)
> try(system("convert tmp/66qxe1304452905.ps tmp/66qxe1304452905.png",intern=TRUE))
character(0)
> try(system("convert tmp/70k1u1304452905.ps tmp/70k1u1304452905.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.030   1.270   2.664