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Type 'q()' to quit R. > x <- c(0.43,0.45,0.44,0.44,0.44,0.48,0.47,0.47,0.47,0.49,0.49,0.46,0.45,0.44,0.42,0.43,0.43,0.47,0.47,0.47,0.47,0.48,0.48,0.48,0.49,0.49,0.47,0.5,0.51,0.5,0.49,0.5,0.51,0.51,0.5,0.53,0.5,0.49,0.46,0.46,0.47,0.49,0.5,0.5,0.51,0.5,0.52,0.5,0.48,0.47,0.43,0.42,0.45,0.5,0.52,0.52,0.51,0.52,0.52,0.51,0.51,0.51,0.48,0.49,0.47,0.51,0.5,0.51,0.51,0.52,0.51,0.52,0.48,0.49,0.47,0.44,0.44,0.47,0.51,0.51,0.52,0.52,0.52,0.52) > par2 = '12' > par1 = '200' > par2 <- '12' > par1 <- '200' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: root > #To cite this work: Wessa P., (2012), Blocked Bootstrap Plot for Central Tendency (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_bootstrapplot.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > par1 <- as.numeric(par1) > par2 <- as.numeric(par2) > if (par1 < 10) par1 = 10 > if (par1 > 5000) par1 = 5000 > if (par2 < 3) par2 = 3 > if (par2 > length(x)) par2 = length(x) > library(lattice) > library(boot) Attaching package: 'boot' The following object is masked from 'package:lattice': melanoma > boot.stat <- function(s) + { + s.mean <- mean(s) + s.median <- median(s) + s.midrange <- (max(s) + min(s)) / 2 + c(s.mean, s.median, s.midrange) + } > (r <- tsboot(x, boot.stat, R=par1, l=12, sim='fixed')) BLOCK BOOTSTRAP FOR TIME SERIES Fixed Block Length of 12 Call: tsboot(tseries = x, statistic = boot.stat, R = par1, l = 12, sim = "fixed") Bootstrap Statistics : original bias std. error t1* 0.4845238 -7.142857e-05 0.005725230 t2* 0.4900000 -9.500000e-04 0.008673155 t3* 0.4750000 -8.500000e-04 0.003512719 > postscript(file="/var/fisher/rcomp/tmp/1bjw21387718093.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean') > grid() > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/2qttk1387718093.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median') > grid() > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/3wm5c1387718093.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange') > grid() > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/44zzb1387718093.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean') > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/5s5531387718093.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median') > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/6ultf1387718093.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])) > colnames(z) <- list('mean','median','midrange') > postscript(file="/var/fisher/rcomp/tmp/776rz1387718093.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(0.470952380952381, 0.481011904761905, 0.484761904761905, : 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 Blocked 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/fisher/rcomp/tmp/836ra1387718093.tab") > > try(system("convert tmp/1bjw21387718093.ps tmp/1bjw21387718093.png",intern=TRUE)) character(0) > try(system("convert tmp/2qttk1387718093.ps tmp/2qttk1387718093.png",intern=TRUE)) character(0) > try(system("convert tmp/3wm5c1387718093.ps tmp/3wm5c1387718093.png",intern=TRUE)) character(0) > try(system("convert tmp/44zzb1387718093.ps tmp/44zzb1387718093.png",intern=TRUE)) character(0) > try(system("convert tmp/5s5531387718093.ps tmp/5s5531387718093.png",intern=TRUE)) character(0) > try(system("convert tmp/6ultf1387718093.ps tmp/6ultf1387718093.png",intern=TRUE)) character(0) > try(system("convert tmp/776rz1387718093.ps tmp/776rz1387718093.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 9.354 1.999 11.282