R version 3.2.5 (2016-04-14) -- "Very, Very Secure Dishes"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(7.4361,7.4324,7.4367,7.4368,7.4456,7.4564,7.4597,7.4537,7.4639,7.4593,7.4438,7.4415,7.4317,7.4343,7.4281,7.4281,7.4305,7.425,7.4309,7.4361,7.4495,7.4393,7.4367,7.4343,7.4433,7.4463,7.4588,7.4586,7.4621,7.4581,7.4604,7.4557,7.4524,7.45,7.4446,7.4557,7.4534,7.4599,7.4592,7.4512,7.4514,7.4471,7.4442,7.4424,7.4426,7.4416,7.4498,7.4547,7.455,7.4573,7.4506,7.4398,7.435,7.4349,7.4457,7.459,7.4589,7.4555,7.458,7.4593,7.4625,7.4628,7.4522,7.4423,7.4501,7.4623,7.4617,7.4605)
> par4 = 'P1 P5 Q1 Q3 P95 P99'
> par3 = '5'
> par2 = '12'
> par1 = '750'
> par4 <- 'P1 P5 Q1 Q3 P95 P99'
> par3 <- '5'
> par2 <- '12'
> par1 <- '750'
> #'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* 7.448196  3.101765e-05 0.002432289
t2* 7.450050 -6.340000e-04 0.003700609
t3* 7.444450  8.666667e-04 0.001620015
t4* 7.441700  3.100115e-03 0.010664630
t5* 7.458256 -3.920133e-03 0.008371621
There were 16 warnings (use warnings() to see them)
> postscript(file="/var/wessaorg/rcomp/tmp/1l1wq1462196140.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/2ytuj1462196140.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3gjym1462196140.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4jmdg1462196140.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,4],type='p',ylab='simulated values',main='Simulation of Mode')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5gk881462196140.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(r$t[,5],type='p',ylab='simulated values',main='Simulation of Mode of Kernel Density')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6gk9h1462196140.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7k0ew1462196140.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8z6gp1462196140.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~r$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$t[,5]) )
> colnames(z) <- list('mean','median','midrange','mode','mode.k.dens')
> postscript(file="/var/wessaorg/rcomp/tmp/9nqdc1462196140.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
Warning message:
In bxp(list(stats = c(7.44155147058824, 7.44663382352941, 7.44835147058824,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> grid()
> dev.off()
null device 
          1 
> if (par4 == 'P1 P5 Q1 Q3 P95 P99') {
+ myq.1 <- 0.01
+ myq.2 <- 0.05
+ myq.3 <- 0.95
+ myq.4 <- 0.99
+ myl.1 <- 'P1'
+ myl.2 <- 'P5'
+ myl.3 <- 'P95'
+ myl.4 <- 'P99'
+ }
> if (par4 == 'P0.5 P2.5 Q1 Q3 P97.5 P99.5') {
+ myq.1 <- 0.005
+ myq.2 <- 0.025
+ myq.3 <- 0.975
+ myq.4 <- 0.995
+ myl.1 <- 'P0.5'
+ myl.2 <- 'P2.5'
+ myl.3 <- 'P97.5'
+ myl.4 <- 'P99.5'
+ }
> if (par4 == 'P10 P20 Q1 Q3 P80 P90') {
+ myq.1 <- 0.10
+ myq.2 <- 0.20
+ myq.3 <- 0.80
+ myq.4 <- 0.90
+ myl.1 <- 'P10'
+ myl.2 <- 'P20'
+ myl.3 <- 'P80'
+ myl.4 <- 'P90'
+ }
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Estimation Results of Blocked Bootstrap',10,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'statistic',header=TRUE)
> a<-table.element(a,myl.1,header=TRUE)
> a<-table.element(a,myl.2,header=TRUE)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,'Estimate',header=TRUE)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,myl.3,header=TRUE)
> a<-table.element(a,myl.4,header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'IQR',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> q1 <- quantile(r$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/105di81462196140.tab") 
> 
> try(system("convert tmp/1l1wq1462196140.ps tmp/1l1wq1462196140.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ytuj1462196140.ps tmp/2ytuj1462196140.png",intern=TRUE))
character(0)
> try(system("convert tmp/3gjym1462196140.ps tmp/3gjym1462196140.png",intern=TRUE))
character(0)
> try(system("convert tmp/4jmdg1462196140.ps tmp/4jmdg1462196140.png",intern=TRUE))
character(0)
> try(system("convert tmp/5gk881462196140.ps tmp/5gk881462196140.png",intern=TRUE))
character(0)
> try(system("convert tmp/6gk9h1462196140.ps tmp/6gk9h1462196140.png",intern=TRUE))
character(0)
> try(system("convert tmp/7k0ew1462196140.ps tmp/7k0ew1462196140.png",intern=TRUE))
character(0)
> try(system("convert tmp/8z6gp1462196140.ps tmp/8z6gp1462196140.png",intern=TRUE))
character(0)
> try(system("convert tmp/9nqdc1462196140.ps tmp/9nqdc1462196140.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  7.355   0.615   8.004