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Type 'q()' to quit R. > x <- c(12693.7,13154,15405.1,13869.4,12827.7,15716.7,13012.5,12837.6,15052.7,15002.6,14839.6,15022.6,14097.8,14776.8,16833.3,15385.5,15172.6,16858.9,14143.5,14731.8,16471.6,15214,17637.4,17972.4,16896.2,16698,19691.6,15930.7,17444.6,17699.4,15189.8,15672.7,17180.8,17664.9,17862.9,16162.3,17463.6,16772.1,19106.9,16721.3,18161.3,18509.9,17802.7,16409.9,17967.7,20286.6,19537.3,18021.9,20194.3,19049.6,20244.7,21473.3,19673.6,21053.2,20159.5,18203.6,21289.5,20432.3,17180.4,15816.8,15076.6,14531.6,15761.3,14345.5,13916.8,15496.8,14285.6,13597.3,16263.1,16773.3,15986.9,16842.6,15911.9,15782.9,18622.8,17422.5,16989.8,18990.5,16849.3,16511.3,18704.5,19111.1,19420.7,18985.1) > par1 = '50' > par1 <- '50' > #'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 (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_bootstrapplot1.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > par1 <- as.numeric(par1) > if (par1 < 10) par1 = 10 > if (par1 > 5000) par1 = 5000 > library(lattice) > library(boot) Attaching package: 'boot' The following object(s) are masked from 'package:lattice': melanoma > boot.stat <- function(s,i) + { + s.mean <- mean(s[i]) + s.median <- median(s[i]) + s.midrange <- (max(s[i]) + min(s[i])) / 2 + c(s.mean, s.median, s.midrange) + } > (r <- boot(x,boot.stat, R=par1, stype='i')) ORDINARY NONPARAMETRIC BOOTSTRAP Call: boot(data = x, statistic = boot.stat, R = par1, stype = "i") Bootstrap Statistics : original bias std. error t1* 16792.09 -19.10933 230.9350 t2* 16772.70 -68.81100 291.8888 t3* 17083.50 -51.07900 137.0193 > postscript(file="/var/wessaorg/rcomp/tmp/1ccaj1334995755.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/2gidx1334995755.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3j1xj1334995755.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/49wfr1334995755.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5hiio1334995755.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/6rn1c1334995755.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/wessaorg/rcomp/tmp/7kv4i1334995755.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(16272.644047619, 16617.7511904762, 16747.505952381, : 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,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/wessaorg/rcomp/tmp/8t5m51334995755.tab") > > try(system("convert tmp/1ccaj1334995755.ps tmp/1ccaj1334995755.png",intern=TRUE)) character(0) > try(system("convert tmp/2gidx1334995755.ps tmp/2gidx1334995755.png",intern=TRUE)) character(0) > try(system("convert tmp/3j1xj1334995755.ps tmp/3j1xj1334995755.png",intern=TRUE)) character(0) > try(system("convert tmp/49wfr1334995755.ps tmp/49wfr1334995755.png",intern=TRUE)) character(0) > try(system("convert tmp/5hiio1334995755.ps tmp/5hiio1334995755.png",intern=TRUE)) character(0) > try(system("convert tmp/6rn1c1334995755.ps tmp/6rn1c1334995755.png",intern=TRUE)) character(0) > try(system("convert tmp/7kv4i1334995755.ps tmp/7kv4i1334995755.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.967 0.411 2.384