x <- array(list(2502.66
,10169.02
,10433.44
,24977
,-7.9
,-15
,2.85
,0.3
,3.36
,2466.92
,9633.83
,10238.83
,24320
,-8.8
,-10
,2.98
,-0.1
,3.37
,2513.17
,10066.24
,9857.34
,22680
,-14.2
,-12
,3.06
,-1
,3.55
,2443.27
,10302.87
,9634.97
,22052
,-17.8
,-11
,3.08
,-1.2
,3.53
,2293.41
,10430.35
,9374.63
,21467
,-18.2
,-11
,3.3
,-0.8
,3.52
,2070.83
,9691.12
,8679.75
,21383
,-22.8
,-17
,3.47
,-1.7
,3.54
,2029.6
,9810.31
,8593
,21777
,-23.6
,-18
,3.72
,-1.1
,3.5
,2052.02
,9304.43
,8398.37
,21928
,-27.6
,-19
,3.67
,-0.4
,3.44
,1864.44
,8767.96
,7992.12
,21814
,-29.4
,-22
,3.82
,0.6
,3.38
,1670.07
,7764.58
,7235.47
,22937
,-31.8
,-24
,3.85
,0.6
,3.35
,1810.99
,7694.78
,7690.5
,23595
,-31.4
,-24
,3.9
,1.9
,3.68
,1905.41
,8331.49
,8396.2
,20830
,-27.6
,-20
,3.99
,2.3
,3.92
,1862.83
,8460.94
,8595.56
,19650
,-28.8
,-25
,4.35
,2.6
,4.05
,2014.45
,8531.45
,8614.55
,19195
,-21.9
,-22
,4.98
,3.1
,4.14
,2197.82
,9117.03
,9181.73
,19644
,-13.9
,-17
,5.46
,4.7
,4.53
,2962.34
,12123.53
,11114.08
,18483
,-8
,-9
,5.19
,5.5
,4.54
,3047.03
,12989.35
,11530.75
,18079
,-2.8
,-11
,5.03
,5.4
,4.9
,3032.6
,13168.91
,11322.38
,19178
,-3.3
,-13
,5.38
,5.9
,4.92
,3504.37
,14084.6
,12056.67
,18391
,-1.3
,-11
,5.37
,5.8
,4.45
,3801.06
,13995.33
,12812.48
,18441
,0.5
,-9
,4.87
,5.2
,3.92
,3857.62
,13357.7
,12656.63
,18584
,-1.9
,-7
,4.7
,4.2
,3.66
,3674.4
,12602.93
,12193.88
,20108
,2
,-3
,4.4
,4.4
,3.74
,3720.98
,13547.84
,12419.57
,20148
,1.7
,-3
,4.37
,3.6
,4.07
,3844.49
,13731.31
,12538.12
,19394
,1.9
,-6
,4.54
,3.5
,4.23
,4116.68
,15532.18
,13406.97
,17745
,0.1
,-4
,4.8
,3.1
,4.14
,4105.18
,15543.76
,13200.58
,17696
,2.4
,-8
,4.56
,2.9
,4.18
,4435.23
,16903.36
,13901.28
,17032
,2.3
,-1
,4.61
,2.2
,4.29
,4296.49
,16235.39
,13557.69
,16438
,4.7
,-2
,4.58
,1.5
,4.27
,4202.52
,16460.95
,13239.71
,15683
,5
,-2
,4.61
,1.1
,4.33
,4562.84
,17974.77
,13673.28
,15594
,7.2
,-1
,4.77
,1.4
,4.39
,4621.4
,18001.37
,13480.21
,15713
,8.5
,1
,4.76
,1.3
,4.21
,4696.96
,17611.14
,13407.75
,15937
,6.8
,2
,4.5
,1.3
,3.88
,4591.27
,17460.53
,12754.8
,16171
,5.8
,2
,4.37
,1.8
,3.91
,4356.98
,17128.37
,12268.53
,15928
,3.7
,-1
,4.15
,1.8
,3.94
,4502.64
,17741.23
,12631.48
,16348
,4.8
,1
,4.24
,1.8
,3.94
,4443.91
,17286.32
,12512.89
,15579
,6.1
,-1
,4.22
,1.7
,3.64
,4290.89
,16775.08
,12377.62
,15305
,6.9
,-8
,4.01
,1.6
,3.5
,4199.75
,16101.07
,12185.15
,15648
,5.7
,1
,3.93
,1.5
,3.49
,4138.52
,16519.44
,11963.12
,14954
,6.9
,2
,3.97
,1.2
,3.52
,3970.1
,15934.09
,11533.59
,15137
,5.5
,-2
,3.92
,1.2
,3.51
,3862.27
,15786.78
,11257.35
,15839
,6.5
,-2
,3.99
,1.6
,3.6
,3701.61
,15147.55
,11036.89
,16050
,7.7
,-2
,4.1
,1.6
,3.57
,3570.12
,14990.31
,10997.97
,15168
,6.3
,-2
,4.04
,1.9
,3.46
,3801.06
,16397.83
,11333.88
,17064
,5.5
,-6
,3.97
,2.2
,3.48
,3895.51
,17232.97
,11234.68
,16005
,5.3
,-4
,3.9
,2
,3.3
,3917.96
,16311.54
,11145.65
,14886
,3.3
,-5
,3.66
,1.7
,3.04
,3813.06
,16187.64
,10971.19
,14931
,2.2
,-2
,3.44
,2.4
,2.96
,3667.03
,16102.64
,10872.48
,14544
,0.6
,-1
,3.27
,2.6
,3.07
,3494.17
,15650.83
,10827.81
,13812
,0.2
,-5
,3.24
,2.9
,2.99
,3363.99
,14368.05
,10695.25
,13031
,-0.7
,-9
,3.27
,2.6
,2.86
,3295.32
,13392.79
,10324.31
,12574
,-1.7
,-8
,2.99
,2.5
,2.72
,3277.01
,12986.62
,10532.54
,11964
,-3.7
,-14
,2.77
,3.2
,2.72
,3257.16
,12204.98
,10554.27
,11451
,-7.6
,-10
,2.9
,3.1
,2.75
,3161.69
,11716.87
,10545.38
,11346
,-8.2
,-11
,2.87
,3.1
,2.67
,3097.31
,11402.75
,10486.64
,11353
,-7.5
,-11
,2.84
,2.9
,2.76
,3061.26
,11082.38
,10377.18
,10702
,-8
,-11
,3.02
,2.5
,2.87
,3119.31
,11395.64
,10283.19
,10646
,-6.9
,-5
,3.19
,2.8
,2.9
,3106.22
,11809.38
,10682.06
,10556
,-4.2
,-2
,3.39
,3.1
,2.92
,3080.58
,11545.71
,10723.78
,10463
,-3.6
,-3
,3.28
,2.6
,2.93
,2981.85
,11394.84
,10539.51
,10407
,-1.8
,-6
,3.28
,2.3
,3.1
,2921.44
,11068.05
,10673.38
,10625
,-3.2
,-6
,3.33
,2.3
,3.2
,2849.27
,10973
,10411.75
,10872
,-1.3
,-7
,3.51
,2.6
,3.25
,2756.76
,11028.93
,10001.6
,10805
,0.6
,-6
,3.65
,2.9
,3.31
,2645.64
,11079.42
,10204.59
,10653
,1.2
,-2
,3.76
,2
,3.23
,2497.84
,10989.34
,10032.8
,10574
,0.4
,-2
,3.67
,2.2
,3.24
,2448.05
,11383.89
,10152.09
,10431
,3
,-4
,3.87
,2.4
,3.35
,2454.62
,11527.72
,10364.91
,10383
,-0.4
,0
,3.99
,2.3
,3.19
,2407.6
,11037.54
,10092.96
,10296
,0
,-6
,3.9
,2.6
,3.17
,2472.81
,11950.95
,10418.4
,10872
,-1.3
,-4
,3.74
,1.9
,3.06
,2408.64
,11441.08
,10323.73
,10635
,-3.1
,-3
,3.55
,1.1
,3.22
,2440.25
,10631.92
,10601.61
,10297
,-4
,-1
,3.67
,1.3
,3.35
,2350.44
,10892.76
,10540.05
,10570
,-4.9
,-3
,3.6
,1.6
,3.38)
,dim=c(9
,72)
,dimnames=list(c('BEL_20'
,'Nikkei'
,'DJ_Indust'
,'Goudprijs'
,'Conjunct_Seizoenzuiver'
,'Cons_vertrouw'
,'Rend_oblig_EUR'
,'Alg_consumptie_index_BE'
,'Gem_rente_kasbon_5j')
,1:72))
y <- array(NA,dim=c(9,72),dimnames=list(c('BEL_20','Nikkei','DJ_Indust','Goudprijs','Conjunct_Seizoenzuiver','Cons_vertrouw','Rend_oblig_EUR','Alg_consumptie_index_BE','Gem_rente_kasbon_5j'),1:72))
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 = '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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
#Source of accompanying publication: Office for Research, Development, and Education
#Technical description: Write here your technical program description (don't use hard returns!)
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$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/rcomp/tmp/191r81291237406.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$resid)
grid()
dev.off()
postscript(file="/var/www/html/rcomp/tmp/2jb8t1291237406.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
postscript(file="/var/www/html/rcomp/tmp/3jb8t1291237406.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
postscript(file="/var/www/html/rcomp/tmp/4u2pw1291237406.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
postscript(file="/var/www/html/rcomp/tmp/5u2pw1291237406.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()
(myerror <- as.ts(mysum$resid))
postscript(file="/var/www/html/rcomp/tmp/6u2pw1291237406.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
postscript(file="/var/www/html/rcomp/tmp/75t6z1291237406.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
postscript(file="/var/www/html/rcomp/tmp/85t6z1291237406.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
postscript(file="/var/www/html/rcomp/tmp/9f2o21291237406.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
postscript(file="/var/www/html/rcomp/tmp/10f2o21291237406.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
#Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
load(file="/var/www/html/rcomp/createtable")
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$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/rcomp/tmp/11jlm71291237406.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/rcomp/tmp/12mllv1291237406.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/rcomp/tmp/13b4071291237406.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/rcomp/tmp/144wza1291237406.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/rcomp/tmp/15pwfy1291237406.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/rcomp/tmp/163odp1291237406.tab")
}
try(system("convert tmp/191r81291237406.ps tmp/191r81291237406.png",intern=TRUE))
try(system("convert tmp/2jb8t1291237406.ps tmp/2jb8t1291237406.png",intern=TRUE))
try(system("convert tmp/3jb8t1291237406.ps tmp/3jb8t1291237406.png",intern=TRUE))
try(system("convert tmp/4u2pw1291237406.ps tmp/4u2pw1291237406.png",intern=TRUE))
try(system("convert tmp/5u2pw1291237406.ps tmp/5u2pw1291237406.png",intern=TRUE))
try(system("convert tmp/6u2pw1291237406.ps tmp/6u2pw1291237406.png",intern=TRUE))
try(system("convert tmp/75t6z1291237406.ps tmp/75t6z1291237406.png",intern=TRUE))
try(system("convert tmp/85t6z1291237406.ps tmp/85t6z1291237406.png",intern=TRUE))
try(system("convert tmp/9f2o21291237406.ps tmp/9f2o21291237406.png",intern=TRUE))
try(system("convert tmp/10f2o21291237406.ps tmp/10f2o21291237406.png",intern=TRUE))