x <- c(2851,2672,2755,2721,2946,3036,2282,2212,2922,4301,5764,7132,2541,2475,3031,3266,3776,3230,3028,1759,3595,4474,6838,8357,3113,3006,4047,3523,3937,3986,3260,1573,3528,5211,7614,9254,5375,3088,3718,4514,4520,4539,3663,1643,4739,5428,8314,10651,3633,4292,4154,4121,4647,4753,3965,1723,5048,6922,9858,11331,4016,3975,4510,4276,4968,4677,3523,1821,5222,6873,10803,13916,2639,2899,3370,3740,2927,3986,4217,1738,5221,6424,9842,13076,3934,3162,4286,4676,5010,4874,4633,1659,5951,6981,9851,12670)
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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
#Source of accompanying publication: Office for Research, Development, and Education
#Technical description: Write here your technical program description (don't use hard returns!)
par1 <- as.numeric(par1)
if (par1 < 10) par1 = 10
if (par1 > 5000) par1 = 5000
library(lattice)
library(boot)
boot.stat <- function(s,i)
{
s.mean <- mean(s[i])
s.median <- median(s[i])
s.midrange <- (max(s[i]) + min(s[i])) / 2
c(s.mean, s.median, s.midrange)
}
(r <- boot(x,boot.stat, R=par1, stype='i'))
postscript(file="/var/www/rcomp/tmp/1gnsz1274798752.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean')
grid()
dev.off()
postscript(file="/var/www/rcomp/tmp/2gnsz1274798752.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median')
grid()
dev.off()
postscript(file="/var/www/rcomp/tmp/3rwr11274798752.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange')
grid()
dev.off()
postscript(file="/var/www/rcomp/tmp/4rwr11274798752.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean')
dev.off()
postscript(file="/var/www/rcomp/tmp/5rwr11274798752.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median')
dev.off()
postscript(file="/var/www/rcomp/tmp/6rwr11274798752.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
densityplot(~r$t[,3],col='black',main='Density Plot',xlab='midrange')
dev.off()
z <- data.frame(cbind(r$t[,1],r$t[,2],r$t[,3]))
colnames(z) <- list('mean','median','midrange')
postscript(file="/var/www/rcomp/tmp/726qm1274798752.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')
grid()
dev.off()

#Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
load(file="/var/www/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/rcomp/tmp/8875y1274798752.tab") 

try(system("convert tmp/1gnsz1274798752.ps tmp/1gnsz1274798752.png",intern=TRUE))
try(system("convert tmp/2gnsz1274798752.ps tmp/2gnsz1274798752.png",intern=TRUE))
try(system("convert tmp/3rwr11274798752.ps tmp/3rwr11274798752.png",intern=TRUE))
try(system("convert tmp/4rwr11274798752.ps tmp/4rwr11274798752.png",intern=TRUE))
try(system("convert tmp/5rwr11274798752.ps tmp/5rwr11274798752.png",intern=TRUE))
try(system("convert tmp/6rwr11274798752.ps tmp/6rwr11274798752.png",intern=TRUE))
try(system("convert tmp/726qm1274798752.ps tmp/726qm1274798752.png",intern=TRUE))