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Type 'q()' to quit R. > x <- c(132,133.7,127,128.7,127.3,136.7,133.8,137.2,147.4,137.6,123.6,117.4,113.7,106.8,103.3,96.3,96.2,94.7,94.6,95.7,106.7,100.2,94.2,97.6,94.3,98,93.6,86.3,90.7,81.8,87.6,73.8,63.3,59.1,52.9,54.6,52.4,67.5,90.4,126,144.3,167.8,166.2,156,137,129.3,118,114.7,112.8,115.7,103.9,96.9,88.8,93,86.3,82.3,82.4,76.6,72.7,67.5,77.3,73.7,73,78.2,90.7,91.5,86.3,86.8,86.1,77.1,75.7,78.7,71.5,69.6,73.6,78.1,78.3,71.5,68.7,61.2,64.7,64.6,56.3,54.5,49.5,54,59.2,52.4,52.8,47.8,45.2,47.1,42.6,42.1,39.4,39.6) > par2 = '12' > par1 = '50' > par2 <- '12' > par1 <- '50' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_bootstrapplot.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > par1 <- as.numeric(par1) > par2 <- as.numeric(par2) > if (par1 < 10) par1 = 10 > if (par1 > 5000) par1 = 5000 > if (par2 < 3) par2 = 3 > if (par2 > length(x)) par2 = length(x) > library(lattice) > library(boot) Attaching package: 'boot' The following object(s) are masked from 'package:lattice': melanoma > boot.stat <- function(s) + { + s.mean <- mean(s) + s.median <- median(s) + s.midrange <- (max(s) + min(s)) / 2 + c(s.mean, s.median, s.midrange) + } > (r <- tsboot(x, boot.stat, R=par1, l=12, sim='fixed')) BLOCK BOOTSTRAP FOR TIME SERIES Fixed Block Length of 12 Call: tsboot(tseries = x, statistic = boot.stat, R = par1, l = 12, sim = "fixed") Bootstrap Statistics : original bias std. error t1* 89.85729 0.01975 9.080662 t2* 86.55000 0.76000 10.924014 t3* 103.60000 -1.67600 6.420417 > postscript(file="/var/fisher/rcomp/tmp/1j9o21358263145.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean') > grid() > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/23xiz1358263145.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median') > grid() > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/3hx431358263145.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange') > grid() > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/40zg51358263145.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean') > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/5u3x71358263145.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median') > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/69he11358263145.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/770ae1358263145.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') > 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/82ete1358263145.tab") > > try(system("convert tmp/1j9o21358263145.ps tmp/1j9o21358263145.png",intern=TRUE)) character(0) > try(system("convert tmp/23xiz1358263145.ps tmp/23xiz1358263145.png",intern=TRUE)) character(0) > try(system("convert tmp/3hx431358263145.ps tmp/3hx431358263145.png",intern=TRUE)) character(0) > try(system("convert tmp/40zg51358263145.ps tmp/40zg51358263145.png",intern=TRUE)) character(0) > try(system("convert tmp/5u3x71358263145.ps tmp/5u3x71358263145.png",intern=TRUE)) character(0) > try(system("convert tmp/69he11358263145.ps tmp/69he11358263145.png",intern=TRUE)) character(0) > try(system("convert tmp/770ae1358263145.ps tmp/770ae1358263145.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 4.343 1.114 5.472