R version 2.12.0 (2010-10-15)
Copyright (C) 2010 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
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> x <- array(list(1192,5,-4.3574,0,370,1196,6,-1.4534,1,546,1183,8,-3.9786,0,1736,1210,9,-1.0745,0,1194,1210,10,1.8295,0,519,1218,11,2.5114,0,234,1219,12,7.0821,0,253,1202,15,-3.0946,0,587,1195,16,-2.4128,0,726,1203,17,2.1579,0,329,1170,19,-0.9229,1,522,1189,20,4.2034,1,939,1199,21,2.6630,0,641,1196,22,4.4560,0,330,1189,23,-2.6400,0,677,1185,25,4.2792,0,389,1192,26,1.0722,0,431,1188,27,-1.0238,0,350,1176,28,-2.5641,0,434,1166,31,-7.7409,0,1091,1176,32,-0.9479,0,1023,1181,33,1.9561,0,398),dim=c(5,22),dimnames=list(c('TIMEin','DATE','TEMP','RAIN','BIRDS'),1:22))
> y <- array(NA,dim=c(5,22),dimnames=list(c('TIMEin','DATE','TEMP','RAIN','BIRDS'),1:22))
> 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'
> 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)
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
TIMEin DATE TEMP RAIN BIRDS
1 1192 5 -4.3574 0 370
2 1196 6 -1.4534 1 546
3 1183 8 -3.9786 0 1736
4 1210 9 -1.0745 0 1194
5 1210 10 1.8295 0 519
6 1218 11 2.5114 0 234
7 1219 12 7.0821 0 253
8 1202 15 -3.0946 0 587
9 1195 16 -2.4128 0 726
10 1203 17 2.1579 0 329
11 1170 19 -0.9229 1 522
12 1189 20 4.2034 1 939
13 1199 21 2.6630 0 641
14 1196 22 4.4560 0 330
15 1189 23 -2.6400 0 677
16 1185 25 4.2792 0 389
17 1192 26 1.0722 0 431
18 1188 27 -1.0238 0 350
19 1176 28 -2.5641 0 434
20 1166 31 -7.7409 0 1091
21 1176 32 -0.9479 0 1023
22 1181 33 1.9561 0 398
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) DATE TEMP RAIN BIRDS
1.220e+03 -1.171e+00 1.941e+00 -1.509e+01 -5.032e-03
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-11.908 -3.411 1.370 3.763 8.790
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.220e+03 4.931e+00 247.370 < 2e-16 ***
DATE -1.171e+00 1.773e-01 -6.609 4.43e-06 ***
TEMP 1.941e+00 4.899e-01 3.961 0.00101 **
RAIN -1.509e+01 4.385e+00 -3.441 0.00312 **
BIRDS -5.032e-03 4.695e-03 -1.072 0.29879
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 6.899 on 17 degrees of freedom
Multiple R-squared: 0.8125, Adjusted R-squared: 0.7684
F-statistic: 18.42 on 4 and 17 DF, p-value: 5.226e-06
> 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/rcomp/tmp/1wzo01338990237.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$resid)
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/2lu9v1338990237.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/3jhxt1338990237.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/4qamc1338990237.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/5vupy1338990237.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 = 22
Frequency = 1
1 2 3 4 5 6
-11.6706859 3.8409348 -11.0174356 8.7903586 0.9290475 7.3428596
7 8 9 10 11 12
0.7393534 8.6847124 2.2324248 0.5354709 -8.0810100 4.2400752
13 14 15 16 17 18
1.8109489 -5.0624346 4.6266806 -11.9081601 2.6985621 3.5301472
19 20 21 22
-3.8864024 2.9808975 0.6266749 -1.9830198
> postscript(file="/var/www/rcomp/tmp/66b4n1338990237.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 = 22
Frequency = 1
lag(myerror, k = 1) myerror
0 -11.6706859 NA
1 3.8409348 -11.6706859
2 -11.0174356 3.8409348
3 8.7903586 -11.0174356
4 0.9290475 8.7903586
5 7.3428596 0.9290475
6 0.7393534 7.3428596
7 8.6847124 0.7393534
8 2.2324248 8.6847124
9 0.5354709 2.2324248
10 -8.0810100 0.5354709
11 4.2400752 -8.0810100
12 1.8109489 4.2400752
13 -5.0624346 1.8109489
14 4.6266806 -5.0624346
15 -11.9081601 4.6266806
16 2.6985621 -11.9081601
17 3.5301472 2.6985621
18 -3.8864024 3.5301472
19 2.9808975 -3.8864024
20 0.6266749 2.9808975
21 -1.9830198 0.6266749
22 NA -1.9830198
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] 3.8409348 -11.6706859
[2,] -11.0174356 3.8409348
[3,] 8.7903586 -11.0174356
[4,] 0.9290475 8.7903586
[5,] 7.3428596 0.9290475
[6,] 0.7393534 7.3428596
[7,] 8.6847124 0.7393534
[8,] 2.2324248 8.6847124
[9,] 0.5354709 2.2324248
[10,] -8.0810100 0.5354709
[11,] 4.2400752 -8.0810100
[12,] 1.8109489 4.2400752
[13,] -5.0624346 1.8109489
[14,] 4.6266806 -5.0624346
[15,] -11.9081601 4.6266806
[16,] 2.6985621 -11.9081601
[17,] 3.5301472 2.6985621
[18,] -3.8864024 3.5301472
[19,] 2.9808975 -3.8864024
[20,] 0.6266749 2.9808975
[21,] -1.9830198 0.6266749
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 3.8409348 -11.6706859
2 -11.0174356 3.8409348
3 8.7903586 -11.0174356
4 0.9290475 8.7903586
5 7.3428596 0.9290475
6 0.7393534 7.3428596
7 8.6847124 0.7393534
8 2.2324248 8.6847124
9 0.5354709 2.2324248
10 -8.0810100 0.5354709
11 4.2400752 -8.0810100
12 1.8109489 4.2400752
13 -5.0624346 1.8109489
14 4.6266806 -5.0624346
15 -11.9081601 4.6266806
16 2.6985621 -11.9081601
17 3.5301472 2.6985621
18 -3.8864024 3.5301472
19 2.9808975 -3.8864024
20 0.6266749 2.9808975
21 -1.9830198 0.6266749
> 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/rcomp/tmp/7zjtx1338990237.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/85m211338990237.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/9mq181338990237.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
> par(opar)
> dev.off()
null device
1
> if (n > n25) {
+ postscript(file="/var/www/rcomp/tmp/10la451338990237.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
>
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$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/rcomp/tmp/11s2yi1338990237.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/rcomp/tmp/12cku81338990237.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/rcomp/tmp/13fk7l1338990237.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/rcomp/tmp/14vc8v1338990237.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/rcomp/tmp/15v2t01338990237.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/rcomp/tmp/16pw2c1338990237.tab")
+ }
>
> try(system("convert tmp/1wzo01338990237.ps tmp/1wzo01338990237.png",intern=TRUE))
character(0)
> try(system("convert tmp/2lu9v1338990237.ps tmp/2lu9v1338990237.png",intern=TRUE))
character(0)
> try(system("convert tmp/3jhxt1338990237.ps tmp/3jhxt1338990237.png",intern=TRUE))
character(0)
> try(system("convert tmp/4qamc1338990237.ps tmp/4qamc1338990237.png",intern=TRUE))
character(0)
> try(system("convert tmp/5vupy1338990237.ps tmp/5vupy1338990237.png",intern=TRUE))
character(0)
> try(system("convert tmp/66b4n1338990237.ps tmp/66b4n1338990237.png",intern=TRUE))
character(0)
> try(system("convert tmp/7zjtx1338990237.ps tmp/7zjtx1338990237.png",intern=TRUE))
character(0)
> try(system("convert tmp/85m211338990237.ps tmp/85m211338990237.png",intern=TRUE))
character(0)
> try(system("convert tmp/9mq181338990237.ps tmp/9mq181338990237.png",intern=TRUE))
character(0)
> try(system("convert tmp/10la451338990237.ps tmp/10la451338990237.png",intern=TRUE))
convert: unable to open image `tmp/10la451338990237.ps': No such file or directory @ magick/blob.c/OpenBlob/2418.
convert: missing an image filename `tmp/10la451338990237.png' @ wand/convert.c/ConvertImageCommand/2710.
character(0)
Warning message:
running command 'convert tmp/10la451338990237.ps tmp/10la451338990237.png' had status 1
>
>
> proc.time()
user system elapsed
2.540 0.740 3.289