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Type 'q()' to quit R. > x <- c(0.8832,0.8707,0.8766,0.8860,0.9170,0.9561,0.9935,0.9781,0.9806,0.9812,1.0013,1.0194,1.0622,1.0785,1.0797,1.0862,1.1556,1.1674,1.1365,1.1155,1.1267,1.1714,1.1710,1.2298,1.2638,1.2640,1.2261,1.1989,1.2000,1.2146,1.2266,1.2191,1.2224,1.2507,1.2997,1.3406,1.3123,1.3013,1.3185,1.2943,1.2697,1.2155,1.2041,1.2295,1.2234,1.2022,1.0000,1.1861,1.2126,1.1940,1.2028,1.2273,1.2767,1.2661,1.2681,1.2810,1.2722,1.2617,1.2888,1.3205,1.2993,1.3080,1.3246,1.3513,1.3518,1.3421,1.3726,1.3626,1.3910,1.4233,1.4683,1.4559,1.4728,1.4759,1.5520,1.5754,1.5554,1.5562,1.5759,1.4955,1.4342,1.3266,1.2744,1.3511,1.3244,1.2797,1.3050,1.3203) > par1 = '50' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as.numeric(par1) > if (par1 < 10) par1 = 10 > if (par1 > 5000) par1 = 5000 > library(lattice) > library(boot) Attaching package: 'boot' The following object(s) are masked from package:lattice : melanoma > boot.stat <- function(s,i) + { + s.mean <- mean(s[i]) + s.median <- median(s[i]) + s.midrange <- (max(s[i]) + min(s[i])) / 2 + c(s.mean, s.median, s.midrange) + } > (r <- boot(x,boot.stat, R=par1, stype='i')) ORDINARY NONPARAMETRIC BOOTSTRAP Call: boot(data = x, statistic = boot.stat, R = par1, stype = "i") Bootstrap Statistics : original bias std. error t1* 1.238693 -0.0001905227 0.017109441 t2* 1.262750 -0.0116920000 0.019613444 t3* 1.223300 0.0000570000 0.007646648 > postscript(file="/var/www/html/freestat/rcomp/tmp/1gl7f1244133919.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/2xsjy1244133919.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/352v51244133919.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/4x8q11244133919.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/5hct11244133919.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/6k94z1244133919.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/freestat/rcomp/tmp/7czow1244133919.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(1.20229545454545, 1.22905681818182, 1.24009034090909, : some notches went outside hinges ('box'): maybe set notch=FALSE > grid() > dev.off() null device 1 > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/8vwvn1244133920.tab") > > system("convert tmp/1gl7f1244133919.ps tmp/1gl7f1244133919.png") > system("convert tmp/2xsjy1244133919.ps tmp/2xsjy1244133919.png") > system("convert tmp/352v51244133919.ps tmp/352v51244133919.png") > system("convert tmp/4x8q11244133919.ps tmp/4x8q11244133919.png") > system("convert tmp/5hct11244133919.ps tmp/5hct11244133919.png") > system("convert tmp/6k94z1244133919.ps tmp/6k94z1244133919.png") > system("convert tmp/7czow1244133919.ps tmp/7czow1244133919.png") > > > proc.time() user system elapsed 2.509 1.611 2.817