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Type 'q()' to quit R. > x <- c(8.9722,8.8284,8.7446,8.7519,8.6337,8.7272,8.6330,8.5865,8.5968,8.5114,8.3884,8.2671,8.2410,8.3177,8.4070,8.3917,8.4145,8.5245,8.6289,8.6622,8.9055,8.9770,9.1264,9.1120,9.0576,9.2106,9.2637,9.3107,9.6744,9.5780,9.4166,9.4359,9.2275,9.1828,9.0594,9.1358,9.2208,9.1137,9.2689,9.2489,9.1679,9.1051,9.0818,9.0961,9.1733,9.1455,9.2265,9.1541,9.1559,9.1182,9.1856,9.2378,9.0682,9.0105,8.9939,9.0228,9.1368,9.1763,9.2346,9.1653,9.1277,9.1430,9.1962,9.1861,9.0920,9.0620,8.9981,8.9819,9.0476,9.0852,9.0884,9.1670,9.1931,9.2628,9.4276,9.3398,9.3342,9.4223,9.5614,9.4316,9.3111,9.3414,9.4017,9.3346,9.3310,9.2349,9.2170,9.2098,9.2665,9.2533,9.1008,9.0377,9.0795,9.1896,9.2992,9.2372,9.2061,9.3290,9.1842,9.3231,9.2835,9.1735,9.2889,9.4319,9.4314,9.3642,9.4020,9.3699,9.3106,9.3739,9.4566,9.3984,9.5637,9.8506) > par1 = '200' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as.numeric(par1) > if (par1 < 10) par1 = 10 > if (par1 > 5000) par1 = 5000 > library(lattice) > library(boot) Attaching package: 'boot' The following object(s) are masked from package:lattice : melanoma > boot.stat <- function(s,i) + { + s.mean <- mean(s[i]) + s.median <- median(s[i]) + s.midrange <- (max(s[i]) + min(s[i])) / 2 + c(s.mean, s.median, s.midrange) + } > (r <- boot(x,boot.stat, R=par1, stype='i')) ORDINARY NONPARAMETRIC BOOTSTRAP Call: boot(data = x, statistic = boot.stat, R = par1, stype = "i") Bootstrap Statistics : original bias std. error t1* 9.115315 -0.004004469 0.03027349 t2* 9.174900 -0.001414500 0.01765005 t3* 9.045800 -0.028126750 0.05427345 > postscript(file="/var/www/html/rcomp/tmp/12r4c1244129865.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2vdwt1244129865.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/3mfue1244129865.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/415o01244129865.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5ntbq1244129865.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/6g1wd1244129865.ps",horizontal=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/www/html/rcomp/tmp/7px7c1244129865.ps",horizontal=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(9.0391649122807, 9.09248815789474, 9.11260394736842, : some notches went outside hinges ('box'): maybe set notch=FALSE > grid() > dev.off() null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/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/www/html/rcomp/tmp/8k8ct1244129865.tab") > > system("convert tmp/12r4c1244129865.ps tmp/12r4c1244129865.png") > system("convert tmp/2vdwt1244129865.ps tmp/2vdwt1244129865.png") > system("convert tmp/3mfue1244129865.ps tmp/3mfue1244129865.png") > system("convert tmp/415o01244129865.ps tmp/415o01244129865.png") > system("convert tmp/5ntbq1244129865.ps tmp/5ntbq1244129865.png") > system("convert tmp/6g1wd1244129865.ps tmp/6g1wd1244129865.png") > system("convert tmp/7px7c1244129865.ps tmp/7px7c1244129865.png") > > > proc.time() user system elapsed 1.693 1.051 2.756