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(205597
+ ,205471
+ ,211064
+ ,212856
+ ,217036
+ ,219302
+ ,219759
+ ,221388
+ ,220834
+ ,221788
+ ,222358
+ ,222972
+ ,224164
+ ,224915
+ ,226294
+ ,224690
+ ,227021
+ ,229284
+ ,229189
+ ,230032
+ ,229389
+ ,231053
+ ,232560
+ ,232681
+ ,231555
+ ,231428
+ ,232141
+ ,234939
+ ,235424
+ ,235471
+ ,236355
+ ,238693
+ ,236958
+ ,237060
+ ,239282
+ ,238252
+ ,241552
+ ,236230
+ ,238909
+ ,240723
+ ,242120
+ ,242100
+ ,243276
+ ,244677
+ ,243494
+ ,244902
+ ,245247
+ ,245578
+ ,243052
+ ,238121
+ ,241863
+ ,241203
+ ,243634
+ ,242351
+ ,245180
+ ,246126
+ ,244424
+ ,245166
+ ,247258
+ ,245094
+ ,246020
+ ,243082
+ ,245555
+ ,243685
+ ,247277
+ ,245029
+ ,246169
+ ,246778
+ ,244577
+ ,246048
+ ,245775
+ ,245328
+ ,245477
+ ,241903
+ ,243219
+ ,248088
+ ,248521
+ ,247389
+ ,249057
+ ,248916
+ ,249193
+ ,250768
+ ,253106
+ ,249829
+ ,249447
+ ,246755
+ ,250785
+ ,250140
+ ,255755
+ ,254671
+ ,253919
+ ,253741
+ ,252729
+ ,253810
+ ,256653
+ ,255231
+ ,258405
+ ,251061
+ ,254811
+ ,254895
+ ,258325
+ ,257608
+ ,258759
+ ,258621
+ ,257852
+ ,260560
+ ,262358
+ ,260812
+ ,261165
+ ,257164
+ ,260720
+ ,259581
+ ,264743
+ ,261845
+ ,262262
+ ,261631
+ ,258953
+ ,259966
+ ,262850
+ ,262204
+ ,263418
+ ,262752
+ ,266433
+ ,267722
+ ,266003
+ ,262971
+ ,265521
+ ,264676
+ ,270223
+ ,269508
+ ,268457
+ ,265814
+ ,266680
+ ,263018
+ ,269285
+ ,269829
+ ,270911
+ ,266844
+ ,271244
+ ,269907
+ ,271296
+ ,270157
+ ,271322
+ ,267179
+ ,264101
+ ,265518
+ ,269419
+ ,268714
+ ,272482
+ ,268351
+ ,268175
+ ,270674
+ ,272764
+ ,272599
+ ,270333
+ ,270846
+ ,270491
+ ,269160
+ ,274027
+ ,273784
+ ,276663
+ ,274525
+ ,271344
+ ,271115
+ ,270798
+ ,273911
+ ,273985
+ ,271917
+ ,273338
+ ,270601
+ ,273547
+ ,275363
+ ,281229
+ ,277793
+ ,279913
+ ,282500
+ ,280041
+ ,282166
+ ,290304
+ ,283519
+ ,287816
+ ,285226
+ ,287595
+ ,289741
+ ,289148
+ ,288301
+ ,290155
+ ,289648
+ ,288225
+ ,289351
+ ,294735
+ ,305333)
> par1 = '500'
> #'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* 254924.8    17.29344    1360.362
t2* 255063.0   283.92500    2898.551
t3* 255402.0 -1995.14500    3245.226
> postscript(file="/var/www/html/rcomp/tmp/141pp1229278818.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/212zc1229278818.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3s8fr1229278818.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4na101229278818.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5tpok1229278818.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6q6901229278818.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$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$t[,3]))
> colnames(z) <- list('mean','median','midrange')
> postscript(file="/var/www/html/rcomp/tmp/73i7i1229278818.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
Warning message:
In bxp(list(stats = c(251376.552083333, 253995.973958333, 254927.390625,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Estimation Results of Bootstrap',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'statistic',header=TRUE)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,'Estimate',header=TRUE)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'IQR',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> q1 <- quantile(r$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/rcomp/tmp/89vif1229278818.tab") 
> 
> system("convert tmp/141pp1229278818.ps tmp/141pp1229278818.png")
> system("convert tmp/212zc1229278818.ps tmp/212zc1229278818.png")
> system("convert tmp/3s8fr1229278818.ps tmp/3s8fr1229278818.png")
> system("convert tmp/4na101229278818.ps tmp/4na101229278818.png")
> system("convert tmp/5tpok1229278818.ps tmp/5tpok1229278818.png")
> system("convert tmp/6q6901229278818.ps tmp/6q6901229278818.png")
> system("convert tmp/73i7i1229278818.ps tmp/73i7i1229278818.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.988   1.242   2.549