R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-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
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Type 'q()' to quit R.
> x <- array(list(6,57,1,6,-11,3,57,3,6,-12,10,55,3,3,-10,0,65,1,4,-15,-2,65,1,7,-15,-1,64,0,5,-15,2,60,2,6,-13,8,43,2,1,-8,-6,47,-1,3,-13,-4,40,1,6,-9,4,31,0,0,-7,7,27,1,3,-4,3,24,1,4,-4,3,23,3,7,-2,8,17,2,6,0,3,16,0,6,-2,-3,15,0,6,-3,4,8,-3,6,1,-5,5,-2,2,-2,-1,6,0,2,-1,5,5,1,2,1,0,12,-1,3,-3,-6,8,-2,-1,-4,-13,17,-1,-4,-9,-15,22,-1,4,-9),dim=c(5,25),dimnames=list(c('Economische','werkloosheid','financiële','spaarvermogen','indicatorconsumentenvertrouwen'),1:25))
> y <- array(NA,dim=c(5,25),dimnames=list(c('Economische','werkloosheid','financiële','spaarvermogen','indicatorconsumentenvertrouwen'),1:25))
> for (i in 1:dim(x)[1])
+ {
+ for (j in 1:dim(x)[2])
+ {
+ y[i,j] <- as.numeric(x[i,j])
+ }
+ }
> par3 = 'No Linear Trend'
> par2 = 'Do not include Seasonal Dummies'
> par1 = '5'
> #'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!)
> library(lattice)
> library(lmtest)
Loading required package: zoo
> n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
> par1 <- as.numeric(par1)
> x <- t(y)
> k <- length(x[1,])
> n <- length(x[,1])
> x1 <- cbind(x[,par1], x[,1:k!=par1])
> mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
> colnames(x1) <- mycolnames #colnames(x)[par1]
> x <- x1
> if (par3 == 'First Differences'){
+ x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
+ for (i in 1:n-1) {
+ for (j in 1:k) {
+ x2[i,j] <- x[i+1,j] - x[i,j]
+ }
+ }
+ x <- x2
+ }
> if (par2 == 'Include Monthly Dummies'){
+ x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
+ for (i in 1:11){
+ x2[seq(i,n,12),i] <- 1
+ }
+ x <- cbind(x, x2)
+ }
> if (par2 == 'Include Quarterly Dummies'){
+ x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
+ for (i in 1:3){
+ x2[seq(i,n,4),i] <- 1
+ }
+ x <- cbind(x, x2)
+ }
> k <- length(x[1,])
> if (par3 == 'Linear Trend'){
+ x <- cbind(x, c(1:n))
+ colnames(x)[k+1] <- 't'
+ }
> x
indicatorconsumentenvertrouwen Economische werkloosheid financi\303\253le
1 -11 6 57 1
2 -12 3 57 3
3 -10 10 55 3
4 -15 0 65 1
5 -15 -2 65 1
6 -15 -1 64 0
7 -13 2 60 2
8 -8 8 43 2
9 -13 -6 47 -1
10 -9 -4 40 1
11 -7 4 31 0
12 -4 7 27 1
13 -4 3 24 1
14 -2 3 23 3
15 0 8 17 2
16 -2 3 16 0
17 -3 -3 15 0
18 1 4 8 -3
19 -2 -5 5 -2
20 -1 -1 6 0
21 1 5 5 1
22 -3 0 12 -1
23 -4 -6 8 -2
24 -9 -13 17 -1
25 -9 -15 22 -1
spaarvermogen
1 6
2 6
3 3
4 4
5 7
6 5
7 6
8 1
9 3
10 6
11 0
12 3
13 4
14 7
15 6
16 6
17 6
18 6
19 2
20 2
21 2
22 3
23 -1
24 -4
25 4
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) Economische werkloosheid
0.1170 0.2788 -0.2569
`financi\303\253le` spaarvermogen
0.1245 0.2865
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-0.76871 -0.14552 0.01242 0.16573 0.57733
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.116961 0.150449 0.777 0.4460
Economische 0.278787 0.014199 19.634 1.54e-14 ***
werkloosheid -0.256941 0.003963 -64.839 < 2e-16 ***
`financi\303\253le` 0.124481 0.062588 1.989 0.0606 .
spaarvermogen 0.286505 0.028565 10.030 3.01e-09 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.3434 on 20 degrees of freedom
Multiple R-squared: 0.9965, Adjusted R-squared: 0.9958
F-statistic: 1421 on 4 and 20 DF, p-value: < 2.2e-16
> if (n > n25) {
+ kp3 <- k + 3
+ nmkm3 <- n - k - 3
+ gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
+ numgqtests <- 0
+ numsignificant1 <- 0
+ numsignificant5 <- 0
+ numsignificant10 <- 0
+ for (mypoint in kp3:nmkm3) {
+ j <- 0
+ numgqtests <- numgqtests + 1
+ for (myalt in c('greater', 'two.sided', 'less')) {
+ j <- j + 1
+ gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
+ }
+ if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
+ }
+ gqarr
+ }
> postscript(file="/var/wessaorg/rcomp/tmp/1y39k1322156677.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
> points(x[,1]-mysum$resid)
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/26nhs1322156677.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/3khnz1322156677.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/4y07b1322156677.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/5vg0t1322156677.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
> qqline(mysum$resid)
> grid()
> dev.off()
null device
1
> (myerror <- as.ts(mysum$resid))
Time Series:
Start = 1
End = 25
Frequency = 1
1 2 3 4 5 6
0.012423540 -0.400178209 -0.006050764 0.313679236 0.011737053 0.173500994
7 8 9 10 11 12
-0.226088666 0.165726096 -0.103065330 0.432299376 -0.266947948 -0.115067075
13 14 15 16 17 18
-0.057247459 0.577334521 0.052743277 -0.561302121 -0.145522644 0.477828713
19 20 21 22 23 24
0.237626794 0.130458880 0.076317197 -0.768708191 0.146750990 0.145758303
25
-0.304006564
> postscript(file="/var/wessaorg/rcomp/tmp/6zzv61322156677.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> dum <- cbind(lag(myerror,k=1),myerror)
> dum
Time Series:
Start = 0
End = 25
Frequency = 1
lag(myerror, k = 1) myerror
0 0.012423540 NA
1 -0.400178209 0.012423540
2 -0.006050764 -0.400178209
3 0.313679236 -0.006050764
4 0.011737053 0.313679236
5 0.173500994 0.011737053
6 -0.226088666 0.173500994
7 0.165726096 -0.226088666
8 -0.103065330 0.165726096
9 0.432299376 -0.103065330
10 -0.266947948 0.432299376
11 -0.115067075 -0.266947948
12 -0.057247459 -0.115067075
13 0.577334521 -0.057247459
14 0.052743277 0.577334521
15 -0.561302121 0.052743277
16 -0.145522644 -0.561302121
17 0.477828713 -0.145522644
18 0.237626794 0.477828713
19 0.130458880 0.237626794
20 0.076317197 0.130458880
21 -0.768708191 0.076317197
22 0.146750990 -0.768708191
23 0.145758303 0.146750990
24 -0.304006564 0.145758303
25 NA -0.304006564
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] -0.400178209 0.012423540
[2,] -0.006050764 -0.400178209
[3,] 0.313679236 -0.006050764
[4,] 0.011737053 0.313679236
[5,] 0.173500994 0.011737053
[6,] -0.226088666 0.173500994
[7,] 0.165726096 -0.226088666
[8,] -0.103065330 0.165726096
[9,] 0.432299376 -0.103065330
[10,] -0.266947948 0.432299376
[11,] -0.115067075 -0.266947948
[12,] -0.057247459 -0.115067075
[13,] 0.577334521 -0.057247459
[14,] 0.052743277 0.577334521
[15,] -0.561302121 0.052743277
[16,] -0.145522644 -0.561302121
[17,] 0.477828713 -0.145522644
[18,] 0.237626794 0.477828713
[19,] 0.130458880 0.237626794
[20,] 0.076317197 0.130458880
[21,] -0.768708191 0.076317197
[22,] 0.146750990 -0.768708191
[23,] 0.145758303 0.146750990
[24,] -0.304006564 0.145758303
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 -0.400178209 0.012423540
2 -0.006050764 -0.400178209
3 0.313679236 -0.006050764
4 0.011737053 0.313679236
5 0.173500994 0.011737053
6 -0.226088666 0.173500994
7 0.165726096 -0.226088666
8 -0.103065330 0.165726096
9 0.432299376 -0.103065330
10 -0.266947948 0.432299376
11 -0.115067075 -0.266947948
12 -0.057247459 -0.115067075
13 0.577334521 -0.057247459
14 0.052743277 0.577334521
15 -0.561302121 0.052743277
16 -0.145522644 -0.561302121
17 0.477828713 -0.145522644
18 0.237626794 0.477828713
19 0.130458880 0.237626794
20 0.076317197 0.130458880
21 -0.768708191 0.076317197
22 0.146750990 -0.768708191
23 0.145758303 0.146750990
24 -0.304006564 0.145758303
> plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
> lines(lowess(z))
> abline(lm(z))
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/746tw1322156677.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/8ivah1322156677.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/9zj151322156677.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
> par(opar)
> dev.off()
null device
1
> if (n > n25) {
+ postscript(file="/var/wessaorg/rcomp/tmp/107jyr1322156677.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
>
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
+ myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
+ if (rownames(mysum$coefficients)[i] != '(Intercept)') {
+ myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
+ if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
+ }
+ }
> myeq <- paste(myeq, ' + e[t]')
> a<-table.row.start(a)
> a<-table.element(a, myeq)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/110lry1322156677.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',header=TRUE)
> a<-table.element(a,'Parameter',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
> a<-table.element(a,'2-tail p-value',header=TRUE)
> a<-table.element(a,'1-tail p-value',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:k){
+ a<-table.row.start(a)
+ a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
+ a<-table.element(a,mysum$coefficients[i,1])
+ a<-table.element(a, round(mysum$coefficients[i,2],6))
+ a<-table.element(a, round(mysum$coefficients[i,3],4))
+ a<-table.element(a, round(mysum$coefficients[i,4],6))
+ a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/12mzah1322156677.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple R',1,TRUE)
> a<-table.element(a, sqrt(mysum$r.squared))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'R-squared',1,TRUE)
> a<-table.element(a, mysum$r.squared)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Adjusted R-squared',1,TRUE)
> a<-table.element(a, mysum$adj.r.squared)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (value)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[2])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[3])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'p-value',1,TRUE)
> a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
> a<-table.element(a, mysum$sigma)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
> a<-table.element(a, sum(myerror*myerror))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/13fbbf1322156677.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Time or Index', 1, TRUE)
> a<-table.element(a, 'Actuals', 1, TRUE)
> a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
> a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,i, 1, TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]-mysum$resid[i])
+ a<-table.element(a,mysum$resid[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/14a6me1322156677.tab")
> if (n > n25) {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'p-values',header=TRUE)
+ a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'breakpoint index',header=TRUE)
+ a<-table.element(a,'greater',header=TRUE)
+ a<-table.element(a,'2-sided',header=TRUE)
+ a<-table.element(a,'less',header=TRUE)
+ a<-table.row.end(a)
+ for (mypoint in kp3:nmkm3) {
+ a<-table.row.start(a)
+ a<-table.element(a,mypoint,header=TRUE)
+ a<-table.element(a,gqarr[mypoint-kp3+1,1])
+ a<-table.element(a,gqarr[mypoint-kp3+1,2])
+ a<-table.element(a,gqarr[mypoint-kp3+1,3])
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/15dgav1322156677.tab")
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Description',header=TRUE)
+ a<-table.element(a,'# significant tests',header=TRUE)
+ a<-table.element(a,'% significant tests',header=TRUE)
+ a<-table.element(a,'OK/NOK',header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'1% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant1)
+ a<-table.element(a,numsignificant1/numgqtests)
+ if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'5% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant5)
+ a<-table.element(a,numsignificant5/numgqtests)
+ if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'10% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant10)
+ a<-table.element(a,numsignificant10/numgqtests)
+ if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/16blca1322156677.tab")
+ }
>
> try(system("convert tmp/1y39k1322156677.ps tmp/1y39k1322156677.png",intern=TRUE))
character(0)
> try(system("convert tmp/26nhs1322156677.ps tmp/26nhs1322156677.png",intern=TRUE))
character(0)
> try(system("convert tmp/3khnz1322156677.ps tmp/3khnz1322156677.png",intern=TRUE))
character(0)
> try(system("convert tmp/4y07b1322156677.ps tmp/4y07b1322156677.png",intern=TRUE))
character(0)
> try(system("convert tmp/5vg0t1322156677.ps tmp/5vg0t1322156677.png",intern=TRUE))
character(0)
> try(system("convert tmp/6zzv61322156677.ps tmp/6zzv61322156677.png",intern=TRUE))
character(0)
> try(system("convert tmp/746tw1322156677.ps tmp/746tw1322156677.png",intern=TRUE))
character(0)
> try(system("convert tmp/8ivah1322156677.ps tmp/8ivah1322156677.png",intern=TRUE))
character(0)
> try(system("convert tmp/9zj151322156677.ps tmp/9zj151322156677.png",intern=TRUE))
character(0)
> try(system("convert tmp/107jyr1322156677.ps tmp/107jyr1322156677.png",intern=TRUE))
convert: unable to open image `tmp/107jyr1322156677.ps': No such file or directory @ blob.c/OpenBlob/2480.
convert: missing an image filename `tmp/107jyr1322156677.png' @ convert.c/ConvertImageCommand/2838.
character(0)
Warning message:
running command 'convert tmp/107jyr1322156677.ps tmp/107jyr1322156677.png' had status 1
>
>
> proc.time()
user system elapsed
2.651 0.469 3.153