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Type 'q()' to quit R. > x <- c(52.21,52.53,53.06,53.23,53.25,53.27,53.35,53.6,53.98,54.18,54.27,54.32,54.4,54.73,54.96,55.27,55.27,55.26,55.37,55.53,55.55,55.54,55.6,55.56,55.64,56.13,56.69,56.8,56.93,57,57.01,57.21,57.17,57.36,57.29,57.26,57.29,57.68,58.19,58.34,58.46,58.67,58.72,58.74,58.77,58.84,59.13,59.12,59.12,59.33,59.49,59.67,59.7,59.73,59.74,59.62,59.6,59.98,60.05,60.06,60.1,60.18,60.38,60.52,60.78,60.72,60.72,60.86,60.99,61.11,61.17,61.19) > par3 = '0' > par2 = '5' > par1 = '750' > par3 <- '0' > par2 <- '5' > par1 <- '750' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: root > #To cite this work: Wessa P., (2012), Bootstrap Plot for Central Tendency (v1.0.10) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_bootstrapplot1.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > par1 <- as.numeric(par1) > par2 <- as.numeric(par2) > if (par3 == '0') bw <- NULL > if (par3 != '0') bw <- as.numeric(par3) > if (par1 < 10) par1 = 10 > if (par1 > 5000) par1 = 5000 > library(modeest) This is package 'modeest' written by Paul PONCET. For a complete list of functions, use 'library(help = "modeest")' or 'help.start()'. > library(lattice) > library(boot) Attaching package: 'boot' The following object(s) are masked from 'package:lattice': melanoma > boot.stat <- function(s,i) + { + s.mean <- mean(s[i]) + s.median <- median(s[i]) + s.midrange <- (max(s[i]) + min(s[i])) / 2 + s.mode <- mlv(s[i], method='mfv')$M + s.kernelmode <- mlv(s[i], method='kernel', bw=bw)$M + c(s.mean, s.median, s.midrange, s.mode, s.kernelmode) + } > (r <- boot(x,boot.stat, R=par1, stype='i')) ORDINARY NONPARAMETRIC BOOTSTRAP Call: boot(data = x, statistic = boot.stat, R = par1, stype = "i") Bootstrap Statistics : original bias std. error t1* 57.41028 -0.004985741 0.2946526 t2* 57.32500 0.312680000 0.6007801 t3* 56.70000 0.087006667 0.1550938 t4* 58.10000 -0.488434101 1.9617340 t5* 59.67983 -0.558403171 1.4172451 Warning messages: 1: In .deal.ties(ny, i, tie.action, tie.limit) : encountered a tie, and the difference between minimal and maximal value is > length('x') * 'tie.limit' the distribution could be multimodal 2: In .deal.ties(ny, i, tie.action, tie.limit) : encountered a tie, and the difference between minimal and maximal value is > length('x') * 'tie.limit' the distribution could be multimodal 3: In .deal.ties(ny, i, tie.action, tie.limit) : encountered a tie, and the difference between minimal and maximal value is > length('x') * 'tie.limit' the distribution could be multimodal 4: In .deal.ties(ny, i, tie.action, tie.limit) : encountered a tie, and the difference between minimal and maximal value is > length('x') * 'tie.limit' the distribution could be multimodal 5: In .deal.ties(ny, i, tie.action, tie.limit) : encountered a tie, and the difference between minimal and maximal value is > length('x') * 'tie.limit' the distribution could be multimodal 6: In .deal.ties(ny, i, tie.action, tie.limit) : encountered a tie, and the difference between minimal and maximal value is > length('x') * 'tie.limit' the distribution could be multimodal > postscript(file="/var/wessaorg/rcomp/tmp/13u271353588728.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/2rjlj1353588728.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3i81l1353588728.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/447j21353588728.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,4],type='p',ylab='simulated values',main='Simulation of Mode') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5nyh01353588728.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$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/6cfze1353588728.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/7swqs1353588728.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/8e5gl1353588728.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,3],col='black',main='Density Plot',xlab='midrange') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/9tglk1353588728.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,4],col='black',main='Density Plot',xlab='mode') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/10qh541353588728.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,5],col='black',main='Density Plot',xlab='mode of kernel dens.') > dev.off() null device 1 > z <- data.frame(cbind(r$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/11z5ew1353588728.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(56.63375, 57.2026388888889, 57.3971527777778, : some notches went outside hinges ('box'): maybe set notch=FALSE > grid() > dev.off() null device 1 > > #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 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,signif(q1,par2)) > a<-table.element(a,signif(r$t0[1],par2)) > a<-table.element(a,signif(q3,par2)) > a<-table.element( a,signif( sqrt(var(r$t[,1])),par2 ) ) > a<-table.element(a,signif(q3-q1,par2)) > 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,signif(q1,par2)) > a<-table.element(a,signif(r$t0[2],par2)) > a<-table.element(a,signif(q3,par2)) > a<-table.element(a,signif(sqrt(var(r$t[,2])),par2)) > a<-table.element(a,signif(q3-q1,par2)) > 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,signif(q1,par2)) > a<-table.element(a,signif(r$t0[3],par2)) > a<-table.element(a,signif(q3,par2)) > a<-table.element(a,signif(sqrt(var(r$t[,3])),par2)) > a<-table.element(a,signif(q3-q1,par2)) > 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]] > a<-table.element(a,signif(q1,par2)) > a<-table.element(a,signif(r$t0[4],par2)) > a<-table.element(a,signif(q3,par2)) > a<-table.element(a,signif(sqrt(var(r$t[,4])),par2)) > a<-table.element(a,signif(q3-q1,par2)) > 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]] > a<-table.element(a,signif(q1,par2)) > a<-table.element(a,signif(r$t0[5],par2)) > a<-table.element(a,signif(q3,par2)) > a<-table.element(a,signif(sqrt(var(r$t[,5])),par2)) > a<-table.element(a,signif(q3-q1,par2)) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/121eqh1353588728.tab") > > try(system("convert tmp/13u271353588728.ps tmp/13u271353588728.png",intern=TRUE)) character(0) > try(system("convert tmp/2rjlj1353588728.ps tmp/2rjlj1353588728.png",intern=TRUE)) character(0) > try(system("convert tmp/3i81l1353588728.ps tmp/3i81l1353588728.png",intern=TRUE)) character(0) > try(system("convert tmp/447j21353588728.ps tmp/447j21353588728.png",intern=TRUE)) character(0) > try(system("convert tmp/5nyh01353588728.ps tmp/5nyh01353588728.png",intern=TRUE)) character(0) > try(system("convert tmp/6cfze1353588728.ps tmp/6cfze1353588728.png",intern=TRUE)) character(0) > try(system("convert tmp/7swqs1353588728.ps tmp/7swqs1353588728.png",intern=TRUE)) character(0) > try(system("convert tmp/8e5gl1353588728.ps tmp/8e5gl1353588728.png",intern=TRUE)) character(0) > try(system("convert tmp/9tglk1353588728.ps tmp/9tglk1353588728.png",intern=TRUE)) character(0) > try(system("convert tmp/10qh541353588728.ps tmp/10qh541353588728.png",intern=TRUE)) character(0) > try(system("convert tmp/11z5ew1353588728.ps tmp/11z5ew1353588728.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 18.876 1.869 20.781