R version 3.2.2 (2015-08-14) -- "Fire Safety" Copyright (C) 2015 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(20 + ,25 + ,15 + ,15 + ,25 + ,25 + ,25 + ,21 + ,30 + ,25 + ,20 + ,40 + ,13 + ,30 + ,25 + ,20 + ,25 + ,20 + ,25 + ,20 + ,20 + ,15 + ,15 + ,12 + ,20 + ,5 + ,20 + ,15 + ,25 + ,22 + ,20 + ,22 + ,25 + ,20 + ,20 + ,35 + ,30 + ,25 + ,20 + ,20 + ,20 + ,25 + ,25 + ,15 + ,20 + ,35 + ,25 + ,25 + ,30 + ,23 + ,10 + ,22 + ,25 + ,25 + ,22 + ,30 + ,20 + ,25 + ,25 + ,22 + ,25 + ,25 + ,25 + ,22 + ,25 + ,12 + ,18 + ,20 + ,20 + ,22 + ,30 + ,25 + ,22 + ,20 + ,50 + ,30 + ,25 + ,20 + ,30 + ,22 + ,25 + ,30 + ,22 + ,25 + ,22 + ,22 + ,25 + ,25 + ,25 + ,20 + ,22 + ,15 + ,20 + ,30 + ,20 + ,25 + ,30 + ,35 + ,22 + ,12 + ,30 + ,15 + ,10 + ,30 + ,9 + ,25 + ,20 + ,20 + ,35 + ,25 + ,35 + ,30 + ,12 + ,25 + ,15 + ,25 + ,25 + ,20 + ,20 + ,6 + ,15 + ,40 + ,20 + ,40 + ,25 + ,25 + ,20 + ,15 + ,15 + ,22 + ,24 + ,22 + ,20 + ,25 + ,25 + ,25 + ,35 + ,40 + ,20 + ,22 + ,22 + ,20 + ,25 + ,25 + ,18 + ,25 + ,20 + ,25 + ,30 + ,20 + ,22 + ,35 + ,22 + ,25 + ,25 + ,25 + ,25 + ,22 + ,23 + ,35 + ,15 + ,25 + ,18 + ,22 + ,25 + ,25 + ,28 + ,30 + ,20 + ,25 + ,25 + ,30 + ,22 + ,30 + ,10 + ,10 + ,25 + ,20 + ,22 + ,25 + ,25 + ,15 + ,22 + ,25 + ,25 + ,28 + ,22 + ,30 + ,25 + ,20 + ,25 + ,25 + ,20 + ,30 + ,20 + ,30 + ,50 + ,19 + ,20 + ,28 + ,20 + ,25 + ,35 + ,25 + ,25 + ,15 + ,16 + ,20 + ,20 + ,25 + ,30 + ,20 + ,25 + ,25 + ,25 + ,20 + ,20 + ,25 + ,25 + ,30 + ,22 + ,20 + ,25 + ,25 + ,18 + ,18 + ,20 + ,25 + ,25 + ,30 + ,25 + ,20 + ,25 + ,20 + ,20 + ,20 + ,22 + ,18 + ,22 + ,20 + ,15 + ,25 + ,25 + ,20 + ,25 + ,15 + ,22 + ,25 + ,25 + ,15 + ,12 + ,25 + ,30 + ,22 + ,15 + ,22 + ,25 + ,12 + ,18 + ,30 + ,25 + ,25 + ,40 + ,24 + ,25 + ,15 + ,25 + ,20 + ,25 + ,25 + ,25 + ,20 + ,30 + ,20 + ,25 + ,30 + ,22 + ,25 + ,25 + ,25 + ,50 + ,19 + ,50 + ,25 + ,35 + ,20 + ,20 + ,20 + ,20 + ,20 + ,25 + ,25 + ,25 + ,20 + ,20 + ,20 + ,20 + ,25 + ,18 + ,25 + ,22 + ,22 + ,30 + ,30 + ,8 + ,20 + ,25 + ,30 + ,50 + ,22 + ,20 + ,10 + ,25 + ,25 + ,25 + ,25 + ,18 + ,25 + ,20 + ,25 + ,30 + ,18 + ,20 + ,25 + ,22 + ,22 + ,20 + ,20 + ,25 + ,20 + ,20 + ,20 + ,20 + ,25 + ,20 + ,10 + ,20 + ,25 + ,30 + ,25 + ,50 + ,30 + ,30 + ,50 + ,15 + ,25 + ,25 + ,22 + ,20 + ,22 + ,30 + ,25 + ,18 + ,22 + ,22 + ,30 + ,40 + ,25 + ,20 + ,10 + ,20 + ,9 + ,15 + ,20 + ,15 + ,20 + ,30 + ,12 + ,15 + ,12 + ,20 + ,15 + ,12 + ,25 + ,20 + ,25 + ,25 + ,25 + ,30 + ,20 + ,25 + ,15 + ,15 + ,22 + ,10 + ,15 + ,10 + ,20 + ,25 + ,20 + ,20 + ,38 + ,20 + ,20 + ,20 + ,40 + ,25 + ,25 + ,30 + ,25 + ,10 + ,20 + ,25 + ,12 + ,15 + ,25 + ,20 + ,22 + ,22 + ,20 + ,25 + ,25 + ,25 + ,15 + ,40 + ,20 + ,20 + ,16 + ,25 + ,15 + ,20 + ,25 + ,20 + ,30 + ,50 + ,20 + ,25 + ,20 + ,30 + ,30 + ,25 + ,25 + ,12 + ,25 + ,25 + ,25 + ,20 + ,20 + ,20 + ,15 + ,20 + ,25 + ,15 + ,25 + ,50 + ,30 + ,20 + ,20 + ,25 + ,12 + ,15 + ,20 + ,20 + ,35 + ,22 + ,15 + ,18 + ,30 + ,22 + ,12 + ,12 + ,20 + ,20 + ,15 + ,25 + ,15 + ,20 + ,20 + ,25 + ,18 + ,30 + ,20 + ,25 + ,25 + ,25 + ,20 + ,20 + ,25 + ,20 + ,22 + ,15 + ,15 + ,22 + ,20 + ,10 + ,25 + ,20 + ,20 + ,15 + ,12 + ,20 + ,5 + ,20 + ,15 + ,15 + ,25 + ,25 + ,25 + ,15 + ,25 + ,22 + ,25 + ,20 + ,18 + ,22 + ,25 + ,35 + ,25 + ,25 + ,25 + ,35 + ,30 + ,22 + ,30 + ,50 + ,15 + ,25 + ,24 + ,20 + ,25 + ,25 + ,25 + ,12 + ,15 + ,22 + ,25 + ,25 + ,25 + ,25 + ,15 + ,20 + ,20 + ,15 + ,35 + ,30 + ,20 + ,22 + ,65 + ,20 + ,25 + ,22 + ,20 + ,25 + ,25 + ,20 + ,25 + ,15 + ,20 + ,12 + ,15 + ,10 + ,25 + ,15 + ,30 + ,35 + ,25 + ,25 + ,25 + ,25 + ,25 + ,40 + ,40 + ,25 + ,25 + ,20 + ,25 + ,25 + ,22 + ,25 + ,30 + ,25 + ,25 + ,30 + ,25 + ,25 + ,30 + ,25 + ,25 + ,20 + ,22 + ,22 + ,20 + ,25 + ,22 + ,25 + ,22 + ,40 + ,25 + ,25 + ,25 + ,22 + ,20 + ,35 + ,20 + ,35 + ,25 + ,22 + ,25 + ,25 + ,25 + ,25 + ,25 + ,40 + ,25 + ,30 + ,25 + ,20 + ,25 + ,25 + ,30 + ,22 + ,22 + ,20 + ,15 + ,15 + ,25 + ,25 + ,20 + ,20 + ,15 + ,25 + ,15 + ,20 + ,22 + ,25 + ,15 + ,15 + ,18 + ,5 + ,15 + ,25 + ,18 + ,40 + ,25 + ,25 + ,20 + ,30 + ,20 + ,25 + ,25 + ,25 + ,22 + ,22 + ,25 + ,25 + ,30 + ,25 + ,25 + ,25 + ,25 + ,20 + ,20 + ,25 + ,25 + ,25 + ,25 + ,20 + ,30 + ,25 + ,22 + ,30 + ,20 + ,20 + ,30 + ,25 + ,25 + ,30 + ,20 + ,25 + ,25 + ,24 + ,25 + ,30 + ,18 + ,15 + ,22 + ,22 + ,25 + ,22 + ,22 + ,25 + ,15 + ,20 + ,22 + ,18 + ,35 + ,20 + ,20 + ,20 + ,25 + ,25 + ,30 + ,15 + ,25 + ,22 + ,26 + ,25 + ,20 + ,25 + ,25 + ,25 + ,22 + ,25 + ,25 + ,20 + ,22 + ,30 + ,15 + ,30 + ,25 + ,20 + ,25 + ,25 + ,35 + ,22 + ,20 + ,25 + ,20 + ,20 + ,18 + ,20 + ,22 + ,25 + ,10 + ,20 + ,25 + ,20 + ,20 + ,30 + ,25 + ,20 + ,15 + ,20 + ,25 + ,10 + ,20 + ,25 + ,22 + ,22 + ,25 + ,25 + ,15 + ,25 + ,20 + ,10 + ,25 + ,16 + ,25 + ,35 + ,25 + ,15 + ,25 + ,25 + ,30 + ,25 + ,10 + ,22 + ,20 + ,25 + ,20 + ,20 + ,25 + ,22 + ,18 + ,30 + ,19 + ,25 + ,20 + ,25 + ,20 + ,25 + ,20 + ,22 + ,12 + ,30 + ,12 + ,22 + ,25 + ,25 + ,25 + ,25 + ,30 + ,30 + ,10 + ,22 + ,22 + ,25 + ,20 + ,22 + ,20 + ,25 + ,20 + ,15 + ,25 + ,20 + ,25 + ,20 + ,30 + ,15 + ,40 + ,25 + ,20 + ,22 + ,22 + ,30 + ,20 + ,40 + ,20 + ,25 + ,20 + ,25 + ,20 + ,50 + ,50 + ,25 + ,25 + ,40 + ,30 + ,22 + ,30 + ,20 + ,25 + ,25 + ,30 + ,25 + ,25 + ,20 + ,18 + ,18 + ,28 + ,25 + ,22 + ,15 + ,40 + ,40 + ,12 + ,12 + ,18 + ,12 + ,25 + ,26 + ,18 + ,25 + ,22 + ,15 + ,25 + ,15 + ,15 + ,15 + ,25 + ,15 + ,12 + ,22 + ,20 + ,20 + ,25 + ,20 + ,12 + ,9 + ,15 + ,12 + ,15 + ,25 + ,20 + ,20 + ,15 + ,15 + ,30 + ,21 + ,25 + ,22 + ,22 + ,50 + ,15 + ,25 + ,15 + ,25 + ,22 + ,18 + ,50 + ,20 + ,50 + ,20 + ,20 + ,30 + ,25 + ,20 + ,22 + ,25 + ,50 + ,40 + ,25 + ,25 + ,25 + ,25 + ,30 + ,40 + ,25 + ,30 + ,20) > par4 = 'P1 P5 Q1 Q3 P95 P99' > par3 = '0' > par2 = '5' > par1 = '50' > par4 <- 'P1 P5 Q1 Q3 P95 P99' > par3 <- '0' > par2 <- '5' > par1 <- '50' > #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Wed, 25 Nov 2015 11:13:57 +0000) > #Author: root > #To cite this work: Wessa P., (2015), Bootstrap Plot for Central Tendency (v1.0.14) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_bootstrapplot1.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > par1 <- as.numeric(par1) > par2 <- as.numeric(par2) > if (par3 == '0') bw <- NULL > if (par3 != '0') bw <- as.numeric(par3) > if (par1 < 10) par1 = 10 > if (par1 > 5000) par1 = 5000 > library(modeest) This is package 'modeest' written by P. PONCET. For a complete list of functions, use 'library(help = "modeest")' or 'help.start()'. > library(lattice) > library(boot) Attaching package: 'boot' The following object is masked from 'package:lattice': melanoma > boot.stat <- function(s,i) + { + s.mean <- mean(s[i]) + s.median <- median(s[i]) + s.midrange <- (max(s[i]) + min(s[i])) / 2 + s.mode <- mlv(s[i], method='mfv')$M + s.kernelmode <- mlv(s[i], method='kernel', bw=bw)$M + c(s.mean, s.median, s.midrange, s.mode, s.kernelmode) + } > x<-na.omit(x) > (r <- boot(x,boot.stat, R=par1, stype='i')) ORDINARY NONPARAMETRIC BOOTSTRAP Call: boot(data = x, statistic = boot.stat, R = par1, stype = "i") Bootstrap Statistics : original bias std. error t1* 23.16556 -0.04077778 0.2600969 t2* 22.00000 1.14000000 1.3666584 t3* 35.00000 -2.63000000 3.6179964 t4* 25.00000 0.00000000 0.0000000 t5* 25.00000 -2.06765645 0.9502844 There were 50 or more warnings (use warnings() to see the first 50) > postscript(file="/var/wessaorg/rcomp/tmp/1minu1449144610.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/2h4cd1449144610.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3i2wj1449144610.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4xkhs1449144610.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,4],type='p',ylab='simulated values',main='Simulation of Mode') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/54ukk1449144610.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$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/60k9a1449144610.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/7gy0e1449144610.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/8zc0e1449144610.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,3],col='black',main='Density Plot',xlab='midrange') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/989e11449144610.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,4],col='black',main='Density Plot',xlab='mode') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/10hjk01449144610.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/11ndl91449144610.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(22.5544444444444, 22.9588888888889, 23.1288888888889, : 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',10,TRUE) > a<-table.row.end(a) > if (par4 == 'P1 P5 Q1 Q3 P95 P99') { + myq.1 <- 0.01 + myq.2 <- 0.05 + myq.3 <- 0.95 + myq.4 <- 0.99 + myl.1 <- 'P1' + myl.2 <- 'P5' + myl.3 <- 'P95' + myl.4 <- 'P99' + } > if (par4 == 'P0.5 P2.5 Q1 Q3 P97.5 P99.5') { + myq.1 <- 0.005 + myq.2 <- 0.025 + myq.3 <- 0.975 + myq.4 <- 0.995 + myl.1 <- 'P0.5' + myl.2 <- 'P2.5' + myl.3 <- 'P97.5' + myl.4 <- 'P99.5' + } > if (par4 == 'P10 P20 Q1 Q3 P80 P90') { + myq.1 <- 0.10 + myq.2 <- 0.20 + myq.3 <- 0.80 + myq.4 <- 0.90 + myl.1 <- 'P10' + myl.2 <- 'P20' + myl.3 <- 'P80' + myl.4 <- 'P90' + } > a<-table.row.start(a) > a<-table.element(a,'statistic',header=TRUE) > a<-table.element(a,myl.1,header=TRUE) > a<-table.element(a,myl.2,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,myl.3,header=TRUE) > a<-table.element(a,myl.4,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]] > p01 <- quantile(r$t[,1],myq.1)[[1]] > p05 <- quantile(r$t[,1],myq.2)[[1]] > p95 <- quantile(r$t[,1],myq.3)[[1]] > p99 <- quantile(r$t[,1],myq.4)[[1]] > a<-table.element(a,signif(p01,par2)) > a<-table.element(a,signif(p05,par2)) > a<-table.element(a,signif(q1,par2)) > a<-table.element(a,signif(r$t0[1],par2)) > a<-table.element(a,signif(q3,par2)) > a<-table.element(a,signif(p95,par2)) > a<-table.element(a,signif(p99,par2)) > a<-table.element( a,signif( sqrt(var(r$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]] > p01 <- quantile(r$t[,2],myq.1)[[1]] > p05 <- quantile(r$t[,2],myq.2)[[1]] > p95 <- quantile(r$t[,2],myq.3)[[1]] > p99 <- quantile(r$t[,2],myq.4)[[1]] > a<-table.element(a,signif(p01,par2)) > a<-table.element(a,signif(p05,par2)) > a<-table.element(a,signif(q1,par2)) > a<-table.element(a,signif(r$t0[2],par2)) > a<-table.element(a,signif(q3,par2)) > a<-table.element(a,signif(p95,par2)) > a<-table.element(a,signif(p99,par2)) > a<-table.element(a,signif(sqrt(var(r$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]] > p01 <- quantile(r$t[,3],myq.1)[[1]] > p05 <- quantile(r$t[,3],myq.2)[[1]] > p95 <- quantile(r$t[,3],myq.3)[[1]] > p99 <- quantile(r$t[,3],myq.4)[[1]] > a<-table.element(a,signif(p01,par2)) > a<-table.element(a,signif(p05,par2)) > a<-table.element(a,signif(q1,par2)) > a<-table.element(a,signif(r$t0[3],par2)) > a<-table.element(a,signif(q3,par2)) > a<-table.element(a,signif(p95,par2)) > a<-table.element(a,signif(p99,par2)) > a<-table.element(a,signif(sqrt(var(r$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]] > p01 <- quantile(r$t[,4],myq.1)[[1]] > p05 <- quantile(r$t[,4],myq.2)[[1]] > p95 <- quantile(r$t[,4],myq.3)[[1]] > p99 <- quantile(r$t[,4],myq.4)[[1]] > a<-table.element(a,signif(p01,par2)) > a<-table.element(a,signif(p05,par2)) > a<-table.element(a,signif(q1,par2)) > a<-table.element(a,signif(r$t0[4],par2)) > a<-table.element(a,signif(q3,par2)) > a<-table.element(a,signif(p95,par2)) > a<-table.element(a,signif(p99,par2)) > a<-table.element(a,signif(sqrt(var(r$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]] > p01 <- quantile(r$t[,5],myq.1)[[1]] > p05 <- quantile(r$t[,5],myq.2)[[1]] > p95 <- quantile(r$t[,5],myq.3)[[1]] > p99 <- quantile(r$t[,5],myq.4)[[1]] > a<-table.element(a,signif(p01,par2)) > a<-table.element(a,signif(p05,par2)) > a<-table.element(a,signif(q1,par2)) > a<-table.element(a,signif(r$t0[5],par2)) > a<-table.element(a,signif(q3,par2)) > a<-table.element(a,signif(p95,par2)) > a<-table.element(a,signif(p99,par2)) > a<-table.element(a,signif(sqrt(var(r$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/126efl1449144610.tab") > > try(system("convert tmp/1minu1449144610.ps tmp/1minu1449144610.png",intern=TRUE)) character(0) > try(system("convert tmp/2h4cd1449144610.ps tmp/2h4cd1449144610.png",intern=TRUE)) character(0) > try(system("convert tmp/3i2wj1449144610.ps tmp/3i2wj1449144610.png",intern=TRUE)) character(0) > try(system("convert tmp/4xkhs1449144610.ps tmp/4xkhs1449144610.png",intern=TRUE)) character(0) > try(system("convert tmp/54ukk1449144610.ps tmp/54ukk1449144610.png",intern=TRUE)) character(0) > try(system("convert tmp/60k9a1449144610.ps tmp/60k9a1449144610.png",intern=TRUE)) character(0) > try(system("convert tmp/7gy0e1449144610.ps tmp/7gy0e1449144610.png",intern=TRUE)) character(0) > try(system("convert tmp/8zc0e1449144610.ps tmp/8zc0e1449144610.png",intern=TRUE)) character(0) > try(system("convert tmp/989e11449144610.ps tmp/989e11449144610.png",intern=TRUE)) character(0) > try(system("convert tmp/10hjk01449144610.ps tmp/10hjk01449144610.png",intern=TRUE)) character(0) > try(system("convert tmp/11ndl91449144610.ps tmp/11ndl91449144610.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 5.622 0.802 6.475