R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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.

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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.

> y <- c(255.00
+ ,280.20
+ ,299.90
+ ,339.20
+ ,374.20
+ ,393.50
+ ,389.20
+ ,381.70
+ ,375.20
+ ,369.00
+ ,357.40
+ ,352.10
+ ,346.50
+ ,342.90
+ ,340.30
+ ,328.30
+ ,322.90
+ ,314.30
+ ,308.90
+ ,294.00
+ ,285.60
+ ,281.20
+ ,280.30
+ ,278.80
+ ,274.50
+ ,270.40
+ ,263.40
+ ,259.90
+ ,258.00
+ ,262.70
+ ,284.70
+ ,311.30
+ ,322.10
+ ,327.00
+ ,331.30
+ ,333.30
+ ,321.40
+ ,327.00
+ ,320.00
+ ,314.70
+ ,316.70
+ ,314.40
+ ,321.30
+ ,318.20
+ ,307.20
+ ,301.30
+ ,287.50
+ ,277.70
+ ,274.40
+ ,258.80
+ ,253.30
+ ,251.00
+ ,248.40
+ ,249.50
+ ,246.10
+ ,244.50
+ ,243.60
+ ,244.00
+ ,240.80
+ ,249.80
+ ,248.00
+ ,259.40
+ ,260.50
+ ,260.80
+ ,261.30
+ ,259.50
+ ,256.60
+ ,257.90
+ ,256.50
+ ,254.20
+ ,253.30
+ ,253.80
+ ,255.50
+ ,257.10
+ ,257.30
+ ,253.20
+ ,252.80
+ ,252.00
+ ,250.70
+ ,252.20
+ ,250.00
+ ,251.00
+ ,253.40
+ ,251.20
+ ,255.60
+ ,261.10
+ ,258.90
+ ,259.90
+ ,261.20
+ ,264.70
+ ,267.10
+ ,266.40
+ ,267.70
+ ,268.60
+ ,267.50
+ ,268.50
+ ,268.50
+ ,270.50
+ ,270.90
+ ,270.10
+ ,269.30
+ ,269.80
+ ,270.10
+ ,264.90
+ ,263.70
+ ,264.80
+ ,263.70
+ ,255.90
+ ,276.20
+ ,360.10
+ ,380.50
+ ,373.70
+ ,369.80
+ ,366.60
+ ,359.30
+ ,345.80
+ ,326.20
+ ,324.50
+ ,328.10
+ ,327.50
+ ,324.40
+ ,316.50
+ ,310.90
+ ,301.50
+ ,291.70
+ ,290.40
+ ,287.40
+ ,277.70
+ ,281.60
+ ,288.00
+ ,276.00
+ ,272.90
+ ,283.00
+ ,283.30
+ ,276.80
+ ,284.50
+ ,282.70
+ ,281.20
+ ,287.40
+ ,283.10
+ ,284.00
+ ,285.50
+ ,289.20
+ ,292.50
+ ,296.40
+ ,305.20
+ ,303.90
+ ,311.50
+ ,316.30
+ ,316.70
+ ,322.50
+ ,317.10
+ ,309.80
+ ,303.80
+ ,290.30
+ ,293.70
+ ,291.70
+ ,296.50
+ ,289.10
+ ,288.50
+ ,293.80
+ ,297.70
+ ,305.40
+ ,302.70
+ ,302.50
+ ,303.00
+ ,294.50
+ ,294.10
+ ,294.50
+ ,297.10
+ ,289.40
+ ,292.40
+ ,287.90
+ ,286.60
+ ,280.50
+ ,272.40
+ ,269.20
+ ,270.60
+ ,267.30
+ ,262.50
+ ,266.80
+ ,268.80
+ ,263.10
+ ,261.20
+ ,266.00
+ ,262.50
+ ,265.20
+ ,261.30
+ ,253.70
+ ,249.20
+ ,239.10
+ ,236.40
+ ,235.20
+ ,245.20
+ ,246.20
+ ,247.70
+ ,251.40
+ ,253.30
+ ,254.80
+ ,250.00
+ ,249.30
+ ,241.50
+ ,243.30
+ ,248.00
+ ,253.00
+ ,252.90
+ ,251.50
+ ,251.60
+ ,253.50
+ ,259.80
+ ,334.10
+ ,448.00
+ ,445.80
+ ,445.00
+ ,448.20
+ ,438.20
+ ,439.80
+ ,423.40
+ ,410.80
+ ,408.40
+ ,406.70
+ ,405.90
+ ,402.70
+ ,405.10
+ ,399.60
+ ,386.50
+ ,381.40
+ ,375.20
+ ,357.70
+ ,359.00
+ ,355.00
+ ,352.70
+ ,344.40
+ ,343.80
+ ,338.00
+ ,339.00
+ ,333.30
+ ,334.40
+ ,328.30
+ ,330.70
+ ,330.00
+ ,331.60
+ ,351.20
+ ,389.40
+ ,410.90
+ ,442.80
+ ,462.80
+ ,466.90
+ ,461.70
+ ,439.20
+ ,430.30
+ ,416.10
+ ,402.50
+ ,397.30
+ ,403.30
+ ,395.90
+ ,387.80
+ ,378.60
+ ,377.10
+ ,370.40
+ ,362.00
+ ,350.30
+ ,348.20
+ ,344.60
+ ,343.50
+ ,342.80
+ ,347.60
+ ,346.60
+ ,349.50
+ ,342.10
+ ,342.00
+ ,342.80
+ ,339.30
+ ,348.20
+ ,333.70
+ ,334.70
+ ,354.00
+ ,367.70
+ ,363.30
+ ,358.40
+ ,353.10
+ ,343.10
+ ,344.60
+ ,344.40
+ ,333.90
+ ,331.70
+ ,324.30
+ ,321.20
+ ,322.40
+ ,321.70
+ ,320.50
+ ,312.80
+ ,309.70
+ ,315.60
+ ,309.70
+ ,304.60
+ ,302.50
+ ,301.50
+ ,298.80
+ ,291.30
+ ,293.60
+ ,294.60
+ ,285.90
+ ,297.60
+ ,301.10
+ ,293.80
+ ,297.70
+ ,292.90
+ ,292.10
+ ,287.20
+ ,288.20
+ ,283.80
+ ,299.90
+ ,292.40
+ ,293.30
+ ,300.80
+ ,293.70
+ ,293.10
+ ,294.40
+ ,292.10
+ ,291.90
+ ,282.50
+ ,277.90
+ ,287.50
+ ,289.20
+ ,285.60
+ ,293.20
+ ,290.80
+ ,283.10
+ ,275.00
+ ,287.80
+ ,287.80
+ ,287.40
+ ,284.00
+ ,277.80
+ ,277.60
+ ,304.90
+ ,294.00
+ ,300.90
+ ,324.00
+ ,332.90
+ ,341.60
+ ,333.40
+ ,348.20
+ ,344.70
+ ,344.70
+ ,329.30
+ ,323.50
+ ,323.20
+ ,317.40
+ ,330.10
+ ,329.20
+ ,334.90
+ ,315.80
+ ,315.40
+ ,319.60
+ ,317.30
+ ,313.80
+ ,315.80
+ ,311.30)
> x <- c(87.28
+ ,87.28
+ ,87.09
+ ,86.92
+ ,87.59
+ ,90.72
+ ,90.69
+ ,90.30
+ ,89.55
+ ,88.94
+ ,88.41
+ ,87.82
+ ,87.07
+ ,86.82
+ ,86.40
+ ,86.02
+ ,85.66
+ ,85.32
+ ,85.00
+ ,84.67
+ ,83.94
+ ,82.83
+ ,81.95
+ ,81.19
+ ,80.48
+ ,78.86
+ ,69.47
+ ,68.77
+ ,70.06
+ ,73.95
+ ,75.80
+ ,77.79
+ ,81.57
+ ,83.07
+ ,84.34
+ ,85.10
+ ,85.25
+ ,84.26
+ ,83.63
+ ,86.44
+ ,85.30
+ ,84.10
+ ,83.36
+ ,82.48
+ ,81.58
+ ,80.47
+ ,79.34
+ ,82.13
+ ,81.69
+ ,80.70
+ ,79.88
+ ,79.16
+ ,78.38
+ ,77.42
+ ,76.47
+ ,75.46
+ ,74.48
+ ,78.27
+ ,80.70
+ ,79.91
+ ,78.75
+ ,77.78
+ ,81.14
+ ,81.08
+ ,80.03
+ ,78.91
+ ,78.01
+ ,76.90
+ ,75.97
+ ,81.93
+ ,80.27
+ ,78.67
+ ,77.42
+ ,76.16
+ ,74.70
+ ,76.39
+ ,76.04
+ ,74.65
+ ,73.29
+ ,71.79
+ ,74.39
+ ,74.91
+ ,74.54
+ ,73.08
+ ,72.75
+ ,71.32
+ ,70.38
+ ,70.35
+ ,70.01
+ ,69.36
+ ,67.77
+ ,69.26
+ ,69.80
+ ,68.38
+ ,67.62
+ ,68.39
+ ,66.95
+ ,65.21
+ ,66.64
+ ,63.45
+ ,60.66
+ ,62.34
+ ,60.32
+ ,58.64
+ ,60.46
+ ,58.59
+ ,61.87
+ ,61.85
+ ,67.44
+ ,77.06
+ ,91.74
+ ,93.15
+ ,94.15
+ ,93.11
+ ,91.51
+ ,89.96
+ ,88.16
+ ,86.98
+ ,88.03
+ ,86.24
+ ,84.65
+ ,83.23
+ ,81.70
+ ,80.25
+ ,78.80
+ ,77.51
+ ,76.20
+ ,75.04
+ ,74.00
+ ,75.49
+ ,77.14
+ ,76.15
+ ,76.27
+ ,78.19
+ ,76.49
+ ,77.31
+ ,76.65
+ ,74.99
+ ,73.51
+ ,72.07
+ ,70.59
+ ,71.96
+ ,76.29
+ ,74.86
+ ,74.93
+ ,71.90
+ ,71.01
+ ,77.47
+ ,75.78
+ ,76.60
+ ,76.07
+ ,74.57
+ ,73.02
+ ,72.65
+ ,73.16
+ ,71.53
+ ,69.78
+ ,67.98
+ ,69.96
+ ,72.16
+ ,70.47
+ ,68.86
+ ,67.37
+ ,65.87
+ ,72.16
+ ,71.34
+ ,69.93
+ ,68.44
+ ,67.16
+ ,66.01
+ ,67.25
+ ,70.91
+ ,69.75
+ ,68.59
+ ,67.48
+ ,66.31
+ ,64.81
+ ,66.58
+ ,65.97
+ ,64.70
+ ,64.70
+ ,60.94
+ ,59.08
+ ,58.42
+ ,57.77
+ ,57.11
+ ,53.31
+ ,49.96
+ ,49.40
+ ,48.84
+ ,48.30
+ ,47.74
+ ,47.24
+ ,46.76
+ ,46.29
+ ,48.90
+ ,49.23
+ ,48.53
+ ,48.03
+ ,54.34
+ ,53.79
+ ,53.24
+ ,52.96
+ ,52.17
+ ,51.70
+ ,58.55
+ ,78.20
+ ,77.03
+ ,76.19
+ ,77.15
+ ,75.87
+ ,95.47
+ ,109.67
+ ,112.28
+ ,112.01
+ ,107.93
+ ,105.96
+ ,105.06
+ ,102.98
+ ,102.20
+ ,105.23
+ ,101.85
+ ,99.89
+ ,96.23
+ ,94.76
+ ,91.51
+ ,91.63
+ ,91.54
+ ,85.23
+ ,87.83
+ ,87.38
+ ,84.44
+ ,85.19
+ ,84.03
+ ,86.73
+ ,102.52
+ ,104.45
+ ,106.98
+ ,107.02
+ ,99.26
+ ,94.45
+ ,113.44
+ ,157.33
+ ,147.38
+ ,171.89
+ ,171.95
+ ,132.71
+ ,126.02
+ ,121.18
+ ,115.45
+ ,110.48
+ ,117.85
+ ,117.63
+ ,124.65
+ ,109.59
+ ,111.27
+ ,99.78
+ ,98.21
+ ,99.20
+ ,97.97
+ ,89.55
+ ,87.91
+ ,93.34
+ ,94.42
+ ,93.20
+ ,90.29
+ ,91.46
+ ,89.98
+ ,88.35
+ ,88.41
+ ,82.44
+ ,79.89
+ ,75.69
+ ,75.66
+ ,84.50
+ ,96.73
+ ,87.48
+ ,82.39
+ ,83.48
+ ,79.31
+ ,78.16
+ ,72.77
+ ,72.45
+ ,68.46
+ ,67.62
+ ,68.76
+ ,70.07
+ ,68.55
+ ,65.30
+ ,58.96
+ ,59.17
+ ,62.37
+ ,66.28
+ ,55.62
+ ,55.23
+ ,55.85
+ ,56.75
+ ,50.89
+ ,53.88
+ ,52.95
+ ,55.08
+ ,53.61
+ ,58.78
+ ,61.85
+ ,55.91
+ ,53.32
+ ,46.41
+ ,44.57
+ ,50.00
+ ,50.00
+ ,53.36
+ ,46.23
+ ,50.45
+ ,49.07
+ ,45.85
+ ,48.45
+ ,49.96
+ ,46.53
+ ,50.51
+ ,47.58
+ ,48.05
+ ,46.84
+ ,47.67
+ ,49.16
+ ,55.54
+ ,55.82
+ ,58.22
+ ,56.19
+ ,57.77
+ ,63.19
+ ,54.76
+ ,55.74
+ ,62.54
+ ,61.39
+ ,69.60
+ ,79.23
+ ,80.00
+ ,93.68
+ ,107.63
+ ,100.18
+ ,97.30
+ ,90.45
+ ,80.64
+ ,80.58
+ ,75.82
+ ,85.59
+ ,89.35
+ ,89.42
+ ,104.73
+ ,95.32
+ ,89.27
+ ,90.44
+ ,86.97
+ ,79.98
+ ,81.22
+ ,87.35
+ ,83.64
+ ,82.22
+ ,94.40
+ ,102.18)
> par1 = '0'
> #'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!)
> par1 <- as.numeric(par1)
> library(lattice)
> z <- as.data.frame(cbind(x,y))
> m <- lm(y~x)
> summary(m)

Call:
lm(formula = y ~ x)

Residuals:
     Min       1Q   Median       3Q      Max 
-104.102  -23.006   -1.580   28.305  106.624 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 165.55010    7.74054   21.39   <2e-16 ***
x             1.84168    0.09701   18.98   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 34.65 on 358 degrees of freedom
Multiple R-squared: 0.5017,	Adjusted R-squared: 0.5003 
F-statistic: 360.4 on 1 and 358 DF,  p-value: < 2.2e-16 

> postscript(file="/var/www/rcomp/tmp/1ok6k1289486257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(z,main='Scatterplot, lowess, and regression line')
> lines(lowess(z),col='red')
> abline(m)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2ztn51289486257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m2 <- lm(m$fitted.values ~ x)
> summary(m2)

Call:
lm(formula = m$fitted.values ~ x)

Residuals:
       Min         1Q     Median         3Q        Max 
-5.785e-13 -1.350e-14  1.807e-15  1.537e-14  4.194e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.656e+02  7.830e-15 2.114e+16   <2e-16 ***
x           1.842e+00  9.813e-17 1.877e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 3.505e-14 on 358 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 3.522e+32 on 1 and 358 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3a34q1289486257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

Call:
lm(formula = m$residuals ~ x)

Residuals:
     Min       1Q   Median       3Q      Max 
-104.102  -23.006   -1.580   28.305  106.624 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept) -1.180e-15  7.741e+00 -1.52e-16        1
x            2.231e-17  9.701e-02  2.30e-16        1

Residual standard error: 34.65 on 358 degrees of freedom
Multiple R-squared: 2.387e-34,	Adjusted R-squared: -0.002793 
F-statistic: 8.546e-32 on 1 and 358 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4a34q1289486257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

Call:
lm(formula = m$fitted.values ~ m$residuals)

Residuals:
    Min      1Q  Median      3Q     Max 
-60.717 -19.643  -1.406  17.430 173.877 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)    
(Intercept) 3.084e+02  1.832e+00    168.3   <2e-16 ***
m$residuals 1.125e-16  5.303e-02 2.12e-15        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 34.77 on 358 degrees of freedom
Multiple R-squared: 5.974e-31,	Adjusted R-squared: -0.002793 
F-statistic: 2.139e-28 on 1 and 358 DF,  p-value: 1 

> z4 <- as.data.frame(cbind(m$residuals,m$fitted.values))
> names(z4) <- list('Residuals','Fitted')
> plot(z4,main='Scatterplot, lowess, and regression line')
> lines(lowess(z4),col='red')
> abline(m4)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/52c3b1289486257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myr <- as.ts(m$residuals)
> z5 <- as.data.frame(cbind(lag(myr,1),myr))
> names(z5) <- list('Lagged Residuals','Residuals')
> plot(z5,main='Lag plot')
> m5 <- lm(z5)
> summary(m5)

Call:
lm(formula = z5)

Residuals:
    Min      1Q  Median      3Q     Max 
-65.087  -5.544  -1.755   4.048  88.714 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  0.09077    0.73155   0.124    0.901    
Residuals    0.91218    0.02119  43.055   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 13.86 on 357 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.8385,	Adjusted R-squared: 0.8381 
F-statistic:  1854 on 1 and 357 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6dlle1289486257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7dlle1289486257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8oukh1289486257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/9oukh1289486257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(x)
> qqline(x)
> grid()
> dev.off()
null device 
          1 
> 
> #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,'Simple Linear Regression',5,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Statistics',1,TRUE)
> a<-table.element(a,'Estimate',1,TRUE)
> a<-table.element(a,'S.D.',1,TRUE)
> a<-table.element(a,'T-STAT (H0: coeff=0)',1,TRUE)
> a<-table.element(a,'P-value (two-sided)',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'constant term',header=TRUE)
> a<-table.element(a,m$coefficients[[1]])
> sd <- sqrt(vcov(m)[1,1])
> a<-table.element(a,sd)
> tstat <- m$coefficients[[1]]/sd
> a<-table.element(a,tstat)
> pval <- 2*(1-pt(abs(tstat),length(x)-2))
> a<-table.element(a,pval)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'slope',header=TRUE)
> a<-table.element(a,m$coefficients[[2]])
> sd <- sqrt(vcov(m)[2,2])
> a<-table.element(a,sd)
> tstat <- m$coefficients[[2]]/sd
> a<-table.element(a,tstat)
> pval <- 2*(1-pt(abs(tstat),length(x)-2))
> a<-table.element(a,pval)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/102m081289486257.tab") 
> 
> try(system("convert tmp/1ok6k1289486257.ps tmp/1ok6k1289486257.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ztn51289486257.ps tmp/2ztn51289486257.png",intern=TRUE))
character(0)
> try(system("convert tmp/3a34q1289486257.ps tmp/3a34q1289486257.png",intern=TRUE))
character(0)
> try(system("convert tmp/4a34q1289486257.ps tmp/4a34q1289486257.png",intern=TRUE))
character(0)
> try(system("convert tmp/52c3b1289486257.ps tmp/52c3b1289486257.png",intern=TRUE))
character(0)
> try(system("convert tmp/6dlle1289486257.ps tmp/6dlle1289486257.png",intern=TRUE))
character(0)
> try(system("convert tmp/7dlle1289486257.ps tmp/7dlle1289486257.png",intern=TRUE))
character(0)
> try(system("convert tmp/8oukh1289486257.ps tmp/8oukh1289486257.png",intern=TRUE))
character(0)
> try(system("convert tmp/9oukh1289486257.ps tmp/9oukh1289486257.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.200   0.890   4.093