R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
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> x <- array(list(97.3,332.9,90.45,341.6,80.64,333.4,80.58,348.2,75.82,344.7,85.59,344.7,89.35,329.3,89.42,323.5,104.73,323.2,95.32,317.4,89.27,330.1,90.44,329.2,86.97,334.9,79.98,315.8,81.22,315.4,87.35,319.6,83.64,317.3,82.22,313.8,94.4,315.8,102.18,311.3),dim=c(2,20),dimnames=list(c('Colombia','USA'),1:20))
> y <- array(NA,dim=c(2,20),dimnames=list(c('Colombia','USA'),1:20))
> 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 = 'Include Monthly Dummies'
> par1 = '1'
> #'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
Attaching package: 'zoo'
The following object(s) are masked from package:base :
as.Date.numeric
> 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
Colombia USA M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11
1 97.30 332.9 1 0 0 0 0 0 0 0 0 0 0
2 90.45 341.6 0 1 0 0 0 0 0 0 0 0 0
3 80.64 333.4 0 0 1 0 0 0 0 0 0 0 0
4 80.58 348.2 0 0 0 1 0 0 0 0 0 0 0
5 75.82 344.7 0 0 0 0 1 0 0 0 0 0 0
6 85.59 344.7 0 0 0 0 0 1 0 0 0 0 0
7 89.35 329.3 0 0 0 0 0 0 1 0 0 0 0
8 89.42 323.5 0 0 0 0 0 0 0 1 0 0 0
9 104.73 323.2 0 0 0 0 0 0 0 0 1 0 0
10 95.32 317.4 0 0 0 0 0 0 0 0 0 1 0
11 89.27 330.1 0 0 0 0 0 0 0 0 0 0 1
12 90.44 329.2 0 0 0 0 0 0 0 0 0 0 0
13 86.97 334.9 1 0 0 0 0 0 0 0 0 0 0
14 79.98 315.8 0 1 0 0 0 0 0 0 0 0 0
15 81.22 315.4 0 0 1 0 0 0 0 0 0 0 0
16 87.35 319.6 0 0 0 1 0 0 0 0 0 0 0
17 83.64 317.3 0 0 0 0 1 0 0 0 0 0 0
18 82.22 313.8 0 0 0 0 0 1 0 0 0 0 0
19 94.40 315.8 0 0 0 0 0 0 1 0 0 0 0
20 102.18 311.3 0 0 0 0 0 0 0 1 0 0 0
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) USA M1 M2 M3 M4
115.12645 -0.07499 2.04745 -5.26249 -9.86995 -6.12255
M5 M6 M7 M8 M9 M10
-10.57502 -6.53125 0.93632 4.47513 13.84006 3.99513
M11
-1.10251
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-6.202e+00 -2.445e+00 1.940e-16 2.445e+00 6.202e+00
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 115.12645 45.32284 2.540 0.0387 *
USA -0.07499 0.13647 -0.549 0.5997
M1 2.04745 7.35960 0.278 0.7889
M2 -5.26249 7.33191 -0.718 0.4962
M3 -9.86995 7.36080 -1.341 0.2218
M4 -6.12255 7.35960 -0.832 0.4329
M5 -10.57502 7.33571 -1.442 0.1926
M6 -6.53125 7.33160 -0.891 0.4026
M7 0.93632 7.38755 0.127 0.9027
M8 4.47513 7.50636 0.596 0.5698
M9 13.84006 8.50531 1.627 0.1477
M10 3.99513 8.61760 0.464 0.6570
M11 -1.10251 8.46669 -0.130 0.9001
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 5.986 on 7 degrees of freedom
Multiple R-squared: 0.7729, Adjusted R-squared: 0.3836
F-statistic: 1.985 on 12 and 7 DF, p-value: 0.1850
> 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/www/html/freestat/rcomp/tmp/1k6hh1290526792.ps",horizontal=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$resid)
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/2dxg21290526792.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/3dxg21290526792.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/4dxg21290526792.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/5dxg21290526792.ps",horizontal=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 = 20
Frequency = 1
1 2 3 4 5
5.090011e+00 6.202361e+00 3.849029e-01 -2.312654e+00 -2.882648e+00
6 7 8 9 10
2.843583e+00 -2.018823e+00 -5.922566e+00 1.939638e-16 1.939638e-16
11 12 13 14 15
-1.915460e-15 5.270307e-16 -5.090011e+00 -6.202361e+00 -3.849029e-01
16 17 18 19 20
2.312654e+00 2.882648e+00 -2.843583e+00 2.018823e+00 5.922566e+00
> postscript(file="/var/www/html/freestat/rcomp/tmp/666fn1290526792.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> dum <- cbind(lag(myerror,k=1),myerror)
> dum
Time Series:
Start = 0
End = 20
Frequency = 1
lag(myerror, k = 1) myerror
0 5.090011e+00 NA
1 6.202361e+00 5.090011e+00
2 3.849029e-01 6.202361e+00
3 -2.312654e+00 3.849029e-01
4 -2.882648e+00 -2.312654e+00
5 2.843583e+00 -2.882648e+00
6 -2.018823e+00 2.843583e+00
7 -5.922566e+00 -2.018823e+00
8 1.939638e-16 -5.922566e+00
9 1.939638e-16 1.939638e-16
10 -1.915460e-15 1.939638e-16
11 5.270307e-16 -1.915460e-15
12 -5.090011e+00 5.270307e-16
13 -6.202361e+00 -5.090011e+00
14 -3.849029e-01 -6.202361e+00
15 2.312654e+00 -3.849029e-01
16 2.882648e+00 2.312654e+00
17 -2.843583e+00 2.882648e+00
18 2.018823e+00 -2.843583e+00
19 5.922566e+00 2.018823e+00
20 NA 5.922566e+00
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] 6.202361e+00 5.090011e+00
[2,] 3.849029e-01 6.202361e+00
[3,] -2.312654e+00 3.849029e-01
[4,] -2.882648e+00 -2.312654e+00
[5,] 2.843583e+00 -2.882648e+00
[6,] -2.018823e+00 2.843583e+00
[7,] -5.922566e+00 -2.018823e+00
[8,] 1.939638e-16 -5.922566e+00
[9,] 1.939638e-16 1.939638e-16
[10,] -1.915460e-15 1.939638e-16
[11,] 5.270307e-16 -1.915460e-15
[12,] -5.090011e+00 5.270307e-16
[13,] -6.202361e+00 -5.090011e+00
[14,] -3.849029e-01 -6.202361e+00
[15,] 2.312654e+00 -3.849029e-01
[16,] 2.882648e+00 2.312654e+00
[17,] -2.843583e+00 2.882648e+00
[18,] 2.018823e+00 -2.843583e+00
[19,] 5.922566e+00 2.018823e+00
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 6.202361e+00 5.090011e+00
2 3.849029e-01 6.202361e+00
3 -2.312654e+00 3.849029e-01
4 -2.882648e+00 -2.312654e+00
5 2.843583e+00 -2.882648e+00
6 -2.018823e+00 2.843583e+00
7 -5.922566e+00 -2.018823e+00
8 1.939638e-16 -5.922566e+00
9 1.939638e-16 1.939638e-16
10 -1.915460e-15 1.939638e-16
11 5.270307e-16 -1.915460e-15
12 -5.090011e+00 5.270307e-16
13 -6.202361e+00 -5.090011e+00
14 -3.849029e-01 -6.202361e+00
15 2.312654e+00 -3.849029e-01
16 2.882648e+00 2.312654e+00
17 -2.843583e+00 2.882648e+00
18 2.018823e+00 -2.843583e+00
19 5.922566e+00 2.018823e+00
> 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/www/html/freestat/rcomp/tmp/7ygeq1290526792.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/8ygeq1290526792.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/99peb1290526792.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
Warning message:
In dropInf(r.w/(s * sqrt(1 - hii))) :
Not plotting observations with leverage one:
9, 10, 11, 12
> par(opar)
> dev.off()
null device
1
> if (n > n25) {
+ postscript(file="/var/www/html/freestat/rcomp/tmp/109peb1290526792.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
>
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$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/www/html/freestat/rcomp/tmp/11c7cz1290526792.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/www/html/freestat/rcomp/tmp/12qiv01290526793.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/www/html/freestat/rcomp/tmp/13mrtq1290526793.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/www/html/freestat/rcomp/tmp/14qs9w1290526793.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/www/html/freestat/rcomp/tmp/15bb821290526793.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/www/html/freestat/rcomp/tmp/16pk6t1290526793.tab")
+ }
>
> try(system("convert tmp/1k6hh1290526792.ps tmp/1k6hh1290526792.png",intern=TRUE))
character(0)
> try(system("convert tmp/2dxg21290526792.ps tmp/2dxg21290526792.png",intern=TRUE))
character(0)
> try(system("convert tmp/3dxg21290526792.ps tmp/3dxg21290526792.png",intern=TRUE))
character(0)
> try(system("convert tmp/4dxg21290526792.ps tmp/4dxg21290526792.png",intern=TRUE))
character(0)
> try(system("convert tmp/5dxg21290526792.ps tmp/5dxg21290526792.png",intern=TRUE))
character(0)
> try(system("convert tmp/666fn1290526792.ps tmp/666fn1290526792.png",intern=TRUE))
character(0)
> try(system("convert tmp/7ygeq1290526792.ps tmp/7ygeq1290526792.png",intern=TRUE))
character(0)
> try(system("convert tmp/8ygeq1290526792.ps tmp/8ygeq1290526792.png",intern=TRUE))
character(0)
> try(system("convert tmp/99peb1290526792.ps tmp/99peb1290526792.png",intern=TRUE))
character(0)
> try(system("convert tmp/109peb1290526792.ps tmp/109peb1290526792.png",intern=TRUE))
convert: unable to open image `tmp/109peb1290526792.ps': No such file or directory.
convert: missing an image filename `tmp/109peb1290526792.png'.
character(0)
>
>
> proc.time()
user system elapsed
3.288 2.278 10.328