R version 3.2.2 (2015-08-14) -- "Fire Safety"
Copyright (C) 2015 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(173019,173690,172439,171914,171968,169500,173898,172308,171568,164939,161275,160770,162466,160185,154836,154103,150495,142707,149962,149967,144572,143819,141070,144119,145330,143279,139063,139202,133632,134476,141859,140693,138047,138346,140167,146796,152228,155410,159032,160312,157687,160141,167421,167628,164403,163405,163229,171154,173323,172381,168983,165380,161641,161933,172018,168455,164332,161193,157645,161694,163411,161834,159511,156359,154223,151497,160607,159672,155601,154668,153960,157307,165218,165616,162212,159787,157454,156485,165887,166836,163541,163973,164805,167521,174347,173374,172198,171055,168385,167281,177670,177280,174846,174476,174595,178392,185345,183293,181081,177795,173552,170734,179293,178659,175894,174815,173506,175376)
> par4 = 'P1 P5 Q1 Q3 P95 P99'
> par3 = '5'
> par2 = '12'
> par1 = '50'
> par4 <- 'P1 P5 Q1 Q3 P95 P99'
> par3 <- '5'
> par2 <- '12'
> par1 <- '50'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Mon, 05 Oct 2015 17:06:50 +0100)
> #Author: root
> #To cite this work: Wessa P., (2015), Blocked Bootstrap Plot for Central Tendency (v1.0.5) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_bootstrapplot.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> if (par1 < 10) par1 = 10
> if (par1 > 5000) par1 = 5000
> if (par2 < 3) par2 = 3
> if (par2 > length(x)) par2 = length(x)
> library(modeest)

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

> library(lattice)
> library(boot)

Attaching package: 'boot'

The following object is masked from 'package:lattice':

    melanoma

> boot.stat <- function(s)
+ {
+ s.mean <- mean(s)
+ s.median <- median(s)
+ s.midrange <- (max(s) + min(s)) / 2
+ s.mode <- mlv(s,method='mfv')$M
+ s.kernelmode <- mlv(s, method='kernel')$M
+ c(s.mean, s.median, s.midrange, s.mode, s.kernelmode)
+ }
> (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* 162117.9 -463.2507    3462.652
t2* 163408.0  -73.2800    4095.282
t3* 159488.5 -282.4400    3087.904
t4* 162117.9 -357.6075   10841.005
t5* 166593.9 -448.7502    5726.635
> postscript(file="/var/wessaorg/rcomp/tmp/15knc1449152961.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/2utg11449152961.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3alce1449152961.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4x2l91449152961.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,4],type='p',ylab='simulated values',main='Simulation of Mode')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5gb031449152961.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,5],type='p',ylab='simulated values',main='Simulation of Mode of Kernel Density')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/62s8m1449152961.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/71mip1449152961.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8p8m91449152961.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$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$t[,3],r$t[,4],r$t[,5]) )
> colnames(z) <- list('mean','median','midrange','mode','mode.k.dens')
> postscript(file="/var/wessaorg/rcomp/tmp/94kmx1449152961.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
Warning message:
In bxp(list(stats = c(153762.027777778, 158937.333333333, 162328.625,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> grid()
> dev.off()
null device 
          1 
> if (par4 == 'P1 P5 Q1 Q3 P95 P99') {
+ myq.1 <- 0.01
+ myq.2 <- 0.05
+ myq.3 <- 0.95
+ myq.4 <- 0.99
+ myl.1 <- 'P1'
+ myl.2 <- 'P5'
+ myl.3 <- 'P95'
+ myl.4 <- 'P99'
+ }
> if (par4 == 'P0.5 P2.5 Q1 Q3 P97.5 P99.5') {
+ myq.1 <- 0.005
+ myq.2 <- 0.025
+ myq.3 <- 0.975
+ myq.4 <- 0.995
+ myl.1 <- 'P0.5'
+ myl.2 <- 'P2.5'
+ myl.3 <- 'P97.5'
+ myl.4 <- 'P99.5'
+ }
> if (par4 == 'P10 P20 Q1 Q3 P80 P90') {
+ myq.1 <- 0.10
+ myq.2 <- 0.20
+ myq.3 <- 0.80
+ myq.4 <- 0.90
+ myl.1 <- 'P10'
+ myl.2 <- 'P20'
+ myl.3 <- 'P80'
+ myl.4 <- 'P90'
+ }
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Estimation Results of Blocked Bootstrap',10,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'statistic',header=TRUE)
> a<-table.element(a,myl.1,header=TRUE)
> a<-table.element(a,myl.2,header=TRUE)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,'Estimate',header=TRUE)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,myl.3,header=TRUE)
> a<-table.element(a,myl.4,header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'IQR',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> q1 <- quantile(r$t[,1],0.25)[[1]]
> q3 <- quantile(r$t[,1],0.75)[[1]]
> p01 <- quantile(r$t[,1],myq.1)[[1]]
> p05 <- quantile(r$t[,1],myq.2)[[1]]
> p95 <- quantile(r$t[,1],myq.3)[[1]]
> p99 <- quantile(r$t[,1],myq.4)[[1]]
> a<-table.element(a,signif(p01,par3))
> a<-table.element(a,signif(p05,par3))
> a<-table.element(a,signif(q1,par3))
> a<-table.element(a,signif(r$t0[1],par3))
> a<-table.element(a,signif(q3,par3))
> a<-table.element(a,signif(p95,par3))
> a<-table.element(a,signif(p99,par3))
> a<-table.element( a,signif( sqrt(var(r$t[,1])),par3 ) )
> a<-table.element(a,signif(q3-q1,par3))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'median',header=TRUE)
> q1 <- quantile(r$t[,2],0.25)[[1]]
> q3 <- quantile(r$t[,2],0.75)[[1]]
> p01 <- quantile(r$t[,2],myq.1)[[1]]
> p05 <- quantile(r$t[,2],myq.2)[[1]]
> p95 <- quantile(r$t[,2],myq.3)[[1]]
> p99 <- quantile(r$t[,2],myq.4)[[1]]
> a<-table.element(a,signif(p01,par3))
> a<-table.element(a,signif(p05,par3))
> a<-table.element(a,signif(q1,par3))
> a<-table.element(a,signif(r$t0[2],par3))
> a<-table.element(a,signif(q3,par3))
> a<-table.element(a,signif(p95,par3))
> a<-table.element(a,signif(p99,par3))
> a<-table.element(a,signif(sqrt(var(r$t[,2])),par3))
> a<-table.element(a,signif(q3-q1,par3))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'midrange',header=TRUE)
> q1 <- quantile(r$t[,3],0.25)[[1]]
> q3 <- quantile(r$t[,3],0.75)[[1]]
> p01 <- quantile(r$t[,3],myq.1)[[1]]
> p05 <- quantile(r$t[,3],myq.2)[[1]]
> p95 <- quantile(r$t[,3],myq.3)[[1]]
> p99 <- quantile(r$t[,3],myq.4)[[1]]
> a<-table.element(a,signif(p01,par3))
> a<-table.element(a,signif(p05,par3))
> a<-table.element(a,signif(q1,par3))
> a<-table.element(a,signif(r$t0[3],par3))
> a<-table.element(a,signif(q3,par3))
> a<-table.element(a,signif(p95,par3))
> a<-table.element(a,signif(p99,par3))
> a<-table.element(a,signif(sqrt(var(r$t[,3])),par3))
> a<-table.element(a,signif(q3-q1,par3))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mode',header=TRUE)
> q1 <- quantile(r$t[,4],0.25)[[1]]
> q3 <- quantile(r$t[,4],0.75)[[1]]
> p01 <- quantile(r$t[,4],myq.1)[[1]]
> p05 <- quantile(r$t[,4],myq.2)[[1]]
> p95 <- quantile(r$t[,4],myq.3)[[1]]
> p99 <- quantile(r$t[,4],myq.4)[[1]]
> a<-table.element(a,signif(p01,par3))
> a<-table.element(a,signif(p05,par3))
> a<-table.element(a,signif(q1,par3))
> a<-table.element(a,signif(r$t0[4],par3))
> a<-table.element(a,signif(q3,par3))
> a<-table.element(a,signif(p95,par3))
> a<-table.element(a,signif(p99,par3))
> a<-table.element(a,signif(sqrt(var(r$t[,4])),par3))
> a<-table.element(a,signif(q3-q1,par3))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mode k.dens',header=TRUE)
> q1 <- quantile(r$t[,5],0.25)[[1]]
> q3 <- quantile(r$t[,5],0.75)[[1]]
> p01 <- quantile(r$t[,5],myq.1)[[1]]
> p05 <- quantile(r$t[,5],myq.2)[[1]]
> p95 <- quantile(r$t[,5],myq.3)[[1]]
> p99 <- quantile(r$t[,5],myq.4)[[1]]
> a<-table.element(a,signif(p01,par3))
> a<-table.element(a,signif(p05,par3))
> a<-table.element(a,signif(q1,par3))
> a<-table.element(a,signif(r$t0[5],par3))
> a<-table.element(a,signif(q3,par3))
> a<-table.element(a,signif(p95,par3))
> a<-table.element(a,signif(p99,par3))
> a<-table.element(a,signif(sqrt(var(r$t[,5])),par3))
> a<-table.element(a,signif(q3-q1,par3))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/10vl8z1449152962.tab") 
> 
> try(system("convert tmp/15knc1449152961.ps tmp/15knc1449152961.png",intern=TRUE))
character(0)
> try(system("convert tmp/2utg11449152961.ps tmp/2utg11449152961.png",intern=TRUE))
character(0)
> try(system("convert tmp/3alce1449152961.ps tmp/3alce1449152961.png",intern=TRUE))
character(0)
> try(system("convert tmp/4x2l91449152961.ps tmp/4x2l91449152961.png",intern=TRUE))
character(0)
> try(system("convert tmp/5gb031449152961.ps tmp/5gb031449152961.png",intern=TRUE))
character(0)
> try(system("convert tmp/62s8m1449152961.ps tmp/62s8m1449152961.png",intern=TRUE))
character(0)
> try(system("convert tmp/71mip1449152961.ps tmp/71mip1449152961.png",intern=TRUE))
character(0)
> try(system("convert tmp/8p8m91449152961.ps tmp/8p8m91449152961.png",intern=TRUE))
character(0)
> try(system("convert tmp/94kmx1449152961.ps tmp/94kmx1449152961.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.216   0.658   4.911