R version 2.15.3 (2013-03-01) -- "Security Blanket"
Copyright (C) 2013 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(0.66,0.67,0.67,0.67,0.67,0.67,0.67,0.67,0.67,0.67,0.67,0.67,0.67,0.69,0.7,0.7,0.7,0.7,0.7,0.7,0.71,0.71,0.71,0.71,0.71,0.71,0.71,0.71,0.72,0.72,0.72,0.72,0.73,0.73,0.73,0.73,0.73,0.73,0.73,0.73,0.73,0.73,0.73,0.73,0.74,0.75,0.75,0.75,0.75,0.76,0.76,0.76,0.77,0.77,0.78,0.78,0.78,0.78,0.79,0.79,0.79,0.8,0.8,0.8,0.8,0.81,0.8,0.81,0.82,0.82,0.82,0.82)
> par3 = '0'
> par2 = '5'
> par1 = '50'
> par3 <- '0'
> par2 <- '5'
> par1 <- '50'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 ()
> #Author: root
> #To cite this work: Wessa P., (2013), Bootstrap Plot for Central Tendency (v1.0.11) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_bootstrapplot1.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par3 == '0') bw <- NULL
> if (par3 != '0') bw <- as.numeric(par3)
> if (par1 < 10) par1 = 10
> if (par1 > 5000) par1 = 5000
> library(modeest)

This is package 'modeest' written by Paul PONCET.
For a complete list of functions, use 'library(help = "modeest")' or 'help.start()'.

> 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
+ s.mode <- mlv(s[i], method='mfv')$M
+ s.kernelmode <- mlv(s[i], method='kernel', bw=bw)$M
+ c(s.mean, s.median, s.midrange, s.mode, s.kernelmode)
+ }
> (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* 0.7341667 -0.001255556 0.005298396
t2* 0.7300000 -0.002600000 0.005823948
t3* 0.7400000  0.001900000 0.002451572
t4* 0.7000000  0.003866667 0.031782709
t5* 0.7213871 -0.001163850 0.023164468
There were 26 warnings (use warnings() to see them)
> postscript(file="/var/fisher/rcomp/tmp/1c6761369235838.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/2ywys1369235838.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/34byz1369235838.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4410j1369235838.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,4],type='p',ylab='simulated values',main='Simulation of Mode')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/5zu9c1369235838.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,5],type='p',ylab='simulated values',main='Simulation of Mode of Kernel Density')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/6msuw1369235838.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/7b9yi1369235838.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/816zu1369235838.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,3],col='black',main='Density Plot',xlab='midrange')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/9vuec1369235838.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,4],col='black',main='Density Plot',xlab='mode')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/10qif41369235838.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,5],col='black',main='Density Plot',xlab='mode of kernel dens.')
> dev.off()
null device 
          1 
> z <- data.frame(cbind(r$t[,1],r$t[,2],r$t[,3],r$t[,4],r$t[,5]))
> colnames(z) <- list('mean','median','midrange','mode','mode k.dens')
> postscript(file="/var/fisher/rcomp/tmp/112e2m1369235838.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
Warning message:
In bxp(list(stats = c(0.720833333333333, 0.729305555555556, 0.733194444444444,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Estimation Results of Bootstrap',10,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'statistic',header=TRUE)
> a<-table.element(a,'P1',header=TRUE)
> a<-table.element(a,'P5',header=TRUE)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,'Estimate',header=TRUE)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,'P95',header=TRUE)
> a<-table.element(a,'P99',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'IQR',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> q1 <- quantile(r$t[,1],0.25)[[1]]
> q3 <- quantile(r$t[,1],0.75)[[1]]
> p01 <- quantile(r$t[,1],0.01)[[1]]
> p05 <- quantile(r$t[,1],0.05)[[1]]
> p95 <- quantile(r$t[,1],0.95)[[1]]
> p99 <- quantile(r$t[,1],0.99)[[1]]
> a<-table.element(a,signif(p01,par2))
> a<-table.element(a,signif(p05,par2))
> a<-table.element(a,signif(q1,par2))
> a<-table.element(a,signif(r$t0[1],par2))
> a<-table.element(a,signif(q3,par2))
> a<-table.element(a,signif(p95,par2))
> a<-table.element(a,signif(p99,par2))
> a<-table.element( a,signif( sqrt(var(r$t[,1])),par2 ) )
> a<-table.element(a,signif(q3-q1,par2))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'median',header=TRUE)
> q1 <- quantile(r$t[,2],0.25)[[1]]
> q3 <- quantile(r$t[,2],0.75)[[1]]
> p01 <- quantile(r$t[,2],0.01)[[1]]
> p05 <- quantile(r$t[,2],0.05)[[1]]
> p95 <- quantile(r$t[,2],0.95)[[1]]
> p99 <- quantile(r$t[,2],0.99)[[1]]
> a<-table.element(a,signif(p01,par2))
> a<-table.element(a,signif(p05,par2))
> a<-table.element(a,signif(q1,par2))
> a<-table.element(a,signif(r$t0[2],par2))
> a<-table.element(a,signif(q3,par2))
> a<-table.element(a,signif(p95,par2))
> a<-table.element(a,signif(p99,par2))
> a<-table.element(a,signif(sqrt(var(r$t[,2])),par2))
> a<-table.element(a,signif(q3-q1,par2))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'midrange',header=TRUE)
> q1 <- quantile(r$t[,3],0.25)[[1]]
> q3 <- quantile(r$t[,3],0.75)[[1]]
> p01 <- quantile(r$t[,3],0.01)[[1]]
> p05 <- quantile(r$t[,3],0.05)[[1]]
> p95 <- quantile(r$t[,3],0.95)[[1]]
> p99 <- quantile(r$t[,3],0.99)[[1]]
> a<-table.element(a,signif(p01,par2))
> a<-table.element(a,signif(p05,par2))
> a<-table.element(a,signif(q1,par2))
> a<-table.element(a,signif(r$t0[3],par2))
> a<-table.element(a,signif(q3,par2))
> a<-table.element(a,signif(p95,par2))
> a<-table.element(a,signif(p99,par2))
> a<-table.element(a,signif(sqrt(var(r$t[,3])),par2))
> a<-table.element(a,signif(q3-q1,par2))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mode',header=TRUE)
> q1 <- quantile(r$t[,4],0.25)[[1]]
> q3 <- quantile(r$t[,4],0.75)[[1]]
> p01 <- quantile(r$t[,4],0.01)[[1]]
> p05 <- quantile(r$t[,4],0.05)[[1]]
> p95 <- quantile(r$t[,4],0.95)[[1]]
> p99 <- quantile(r$t[,4],0.99)[[1]]
> a<-table.element(a,signif(p01,par2))
> a<-table.element(a,signif(p05,par2))
> a<-table.element(a,signif(q1,par2))
> a<-table.element(a,signif(r$t0[4],par2))
> a<-table.element(a,signif(q3,par2))
> a<-table.element(a,signif(p95,par2))
> a<-table.element(a,signif(p99,par2))
> a<-table.element(a,signif(sqrt(var(r$t[,4])),par2))
> a<-table.element(a,signif(q3-q1,par2))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mode k.dens',header=TRUE)
> q1 <- quantile(r$t[,5],0.25)[[1]]
> q3 <- quantile(r$t[,5],0.75)[[1]]
> p01 <- quantile(r$t[,5],0.01)[[1]]
> p05 <- quantile(r$t[,5],0.05)[[1]]
> p95 <- quantile(r$t[,5],0.95)[[1]]
> p99 <- quantile(r$t[,5],0.99)[[1]]
> a<-table.element(a,signif(p01,par2))
> a<-table.element(a,signif(p05,par2))
> a<-table.element(a,signif(q1,par2))
> a<-table.element(a,signif(r$t0[5],par2))
> a<-table.element(a,signif(q3,par2))
> a<-table.element(a,signif(p95,par2))
> a<-table.element(a,signif(p99,par2))
> a<-table.element(a,signif(sqrt(var(r$t[,5])),par2))
> a<-table.element(a,signif(q3-q1,par2))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/12sua91369235838.tab") 
> 
> try(system("convert tmp/1c6761369235838.ps tmp/1c6761369235838.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ywys1369235838.ps tmp/2ywys1369235838.png",intern=TRUE))
character(0)
> try(system("convert tmp/34byz1369235838.ps tmp/34byz1369235838.png",intern=TRUE))
character(0)
> try(system("convert tmp/4410j1369235838.ps tmp/4410j1369235838.png",intern=TRUE))
character(0)
> try(system("convert tmp/5zu9c1369235838.ps tmp/5zu9c1369235838.png",intern=TRUE))
character(0)
> try(system("convert tmp/6msuw1369235838.ps tmp/6msuw1369235838.png",intern=TRUE))
character(0)
> try(system("convert tmp/7b9yi1369235838.ps tmp/7b9yi1369235838.png",intern=TRUE))
character(0)
> try(system("convert tmp/816zu1369235838.ps tmp/816zu1369235838.png",intern=TRUE))
character(0)
> try(system("convert tmp/9vuec1369235838.ps tmp/9vuec1369235838.png",intern=TRUE))
character(0)
> try(system("convert tmp/10qif41369235838.ps tmp/10qif41369235838.png",intern=TRUE))
character(0)
> try(system("convert tmp/112e2m1369235838.ps tmp/112e2m1369235838.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  7.178   1.292   8.457