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
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> y <- c(684.28
+ ,722.57
+ ,695.96
+ ,688.13
+ ,720.76
+ ,737.26
+ ,736.9
+ ,727.38
+ ,728.83
+ ,715.58
+ ,735.93
+ ,758.69
+ ,758.69
+ ,740.99
+ ,719.44
+ ,721.24
+ ,737.38
+ ,756.52
+ ,745.32
+ ,733.76
+ ,738.46
+ ,736.65
+ ,737.5
+ ,725.22
+ ,722.45
+ ,720.44
+ ,733.6
+ ,662.93
+ ,763.87
+ ,746.67
+ ,712.59
+ ,655.02
+ ,660.2
+ ,633.59
+ ,627.08
+ ,635.63
+ ,668.87
+ ,656.7
+ ,631.9
+ ,610.83
+ ,632.98
+ ,631.06
+ ,644.3
+ ,647.55
+ ,655.14
+ ,674.4
+ ,676.21
+ ,670.43
+ ,683.43
+ ,703.42
+ ,708.48
+ ,714.5
+ ,706.19
+ ,694.15
+ ,658.15
+ ,648.4
+ ,630.82
+ ,634.19
+ ,658.15
+ ,636.11
+ ,640.33
+ ,601.8
+ ,611.07
+ ,634.31
+ ,625.76
+ ,596.86
+ ,604.09
+ ,587.11
+ ,583.13
+ ,579.16
+ ,551.47
+ ,541.83
+ ,569.53
+ ,564.71
+ ,572.06
+ ,578.56
+ ,595.78
+ ,567.84
+ ,534.25
+ ,519.08
+ ,531.96
+ ,551.83
+ ,560.62
+ ,579.52
+ ,593.13
+ ,626.72
+ ,715.1
+ ,832.38
+ ,837.2
+ ,879.46
+ ,881.99
+ ,1044.9
+ ,924.73
+ ,987.95
+ ,966.15
+ ,1016.72
+ ,1107.27
+ ,1296.67
+ ,1379.75
+ ,1543.03
+ ,1570.12
+ ,1538.81
+ ,1484.63
+ ,1451.27
+ ,1414.91
+ ,1456.93
+ ,1319.19
+ ,1267.89
+ ,1349.77
+ ,1240.2
+ ,1189.51
+ ,1117.87
+ ,1080.06
+ ,1054.77
+ ,1019.47
+ ,1049.96
+ ,1060.79
+ ,1070.42
+ ,1075.24
+ ,1080.06
+ ,1074.04
+ ,1062
+ ,1064.4
+ ,1071.63
+ ,1057.18
+ ,898.24
+ ,895.83
+ ,951.22
+ ,936.77
+ ,901.85
+ ,888.61
+ ,870.55
+ ,887.41
+ ,596.02
+ ,586.39
+ ,596.02
+ ,721
+ ,777.51
+ ,723.48
+ ,680.64
+ ,613.45
+ ,558.18
+ ,641.49
+ ,652.19
+ ,619.37
+ ,655.83
+ ,667.93
+ ,667.7
+ ,663.07
+ ,633.89
+ ,595.28
+ ,568.94
+ ,572.72
+ ,535.26
+ ,508.04
+ ,512.94
+ ,495.22
+ ,469.37
+ ,469.37
+ ,429.69
+ ,468.13
+ ,470.06
+ ,464.93
+ ,450.74
+ ,423.51
+ ,454.84
+ ,497.77
+ ,465.45
+ ,542.31
+ ,606.03
+ ,609.58
+ ,645.79
+ ,719.63
+ ,779.41
+ ,773.5
+ ,806.82
+ ,876.1
+ ,824.64
+ ,881.7
+ ,878.41
+ ,904.18
+ ,892.34
+ ,887.13
+ ,867.85
+ ,839.28
+ ,826.06
+ ,751.11
+ ,789.25
+ ,732.98
+ ,622.07
+ ,600.95
+ ,590.53
+ ,584.39
+ ,525.31
+ ,573.83
+ ,597.67
+ ,743.54
+ ,701.36
+ ,671.43
+ ,751.65
+ ,738.33
+ ,681.61
+ ,616.97
+ ,632.94
+ ,677.73
+ ,730.96
+ ,719.66
+ ,764.21
+ ,805
+ ,829.35
+ ,826.26
+ ,765.93
+ ,801.91
+ ,769.16
+ ,739.89
+ ,688.07
+ ,636.11
+ ,631.72
+ ,625.92
+ ,627.82
+ ,606.13
+ ,595.3
+ ,583.14
+ ,500.19
+ ,462.89
+ ,417.47
+ ,472.27
+ ,474.81
+ ,489.07
+ ,493.14
+ ,626.64
+ ,680.43
+ ,620.3
+ ,676.74
+ ,690.03
+ ,631.04
+ ,623.26
+ ,619.83
+ ,631.74
+ ,648.77
+ ,724.21
+ ,727.09
+ ,767.31
+ ,801.42
+ ,817.72
+ ,764.33
+ ,746.93
+ ,717.29
+ ,695.9
+ ,688.38
+ ,663.53
+ ,688.39
+ ,716.14
+ ,733.28
+ ,688.23
+ ,760.63
+ ,716.77
+ ,683.81
+ ,630.79
+ ,617.91
+ ,524.19
+ ,441.98
+ ,466.09
+ ,501.44
+ ,599.55
+ ,621.99
+ ,607.57
+ ,614.56
+ ,619.09
+ ,603.14
+ ,569.12
+ ,575.72
+ ,642.41
+ ,748.18
+ ,768.39
+ ,763.16
+ ,800.63
+ ,778.49
+ ,733.7
+ ,740.17
+ ,678.33
+ ,697.09
+ ,678.54
+ ,670.87
+ ,674.52
+ ,664.39
+ ,646.52
+ ,661.25
+ ,729.36
+ ,721.52
+ ,708.75
+ ,706.12
+ ,676.93
+ ,708.15
+ ,717.64
+ ,714.35
+ ,703.6
+ ,718.96
+ ,736.03
+ ,717.96
+ ,730.77
+ ,734.66
+ ,728.58
+ ,729.18
+ ,717.13
+ ,684.6
+ ,692.06
+ ,668.84
+ ,647.4
+ ,622.57
+ ,593.69
+ ,583.24
+ ,639.17
+ ,709.73
+ ,698.75
+ ,697.7
+ ,732.25
+ ,714.49
+ ,704.85
+ ,717.56
+ ,704.91
+ ,690.74
+ ,790.34
+ ,790.69
+ ,893.66
+ ,875.62
+ ,914.02
+ ,940.37
+ ,989.08
+ ,987.73
+ ,936.34
+ ,914.11
+ ,943.08
+ ,1080.64
+ ,1102.71
+ ,1097.26
+ ,1157.37
+ ,1154.25
+ ,1136
+ ,1133.42
+ ,1062.44
+ ,1041.1
+ ,1047.97
+ ,941.71
+ ,896.79
+ ,734.91
+ ,646.17
+ ,666.39
+ ,625.45
+ ,586.26
+ ,617.15
+ ,686.86
+ ,761.34
+ ,741.73
+ ,763.62
+ ,822.57
+ ,867.58
+ ,944.85
+ ,953.95
+ ,970.08
+ ,1003.22
+ ,972.81
+ ,1003.86
+ ,991.83
+ ,919.13
+ ,919.52
+ ,916.17
+ ,936.18
+ ,960.65)
> x <- c(553.12
+ ,568.15
+ ,552.75
+ ,510.65
+ ,524.93
+ ,532.95
+ ,540.84
+ ,540.22
+ ,553.75
+ ,529.69
+ ,525.93
+ ,527.31
+ ,527.31
+ ,512.03
+ ,502.76
+ ,496.62
+ ,492.23
+ ,495.12
+ ,469.93
+ ,492.36
+ ,497.87
+ ,480.21
+ ,462.29
+ ,456.03
+ ,456.22
+ ,460.41
+ ,466.59
+ ,441.37
+ ,455.31
+ ,426.96
+ ,419.7
+ ,419.7
+ ,416.44
+ ,404.04
+ ,388.63
+ ,397.65
+ ,390.38
+ ,378.1
+ ,384.87
+ ,419.19
+ ,427.96
+ ,413.81
+ ,408.04
+ ,410.3
+ ,405.66
+ ,400.9
+ ,387
+ ,388.25
+ ,390
+ ,416.44
+ ,436.11
+ ,428.79
+ ,424.16
+ ,409.12
+ ,392.01
+ ,388.37
+ ,373.97
+ ,358.93
+ ,371.96
+ ,353.92
+ ,364.95
+ ,340.52
+ ,353.67
+ ,361.19
+ ,364.7
+ ,359.43
+ ,371.21
+ ,385.24
+ ,389.63
+ ,433.23
+ ,407.79
+ ,400.9
+ ,385.87
+ ,406.67
+ ,406.04
+ ,418.19
+ ,429.22
+ ,420.95
+ ,402.78
+ ,391.01
+ ,416.94
+ ,397.14
+ ,406.67
+ ,419.44
+ ,422.2
+ ,435.98
+ ,470.81
+ ,504.51
+ ,497.25
+ ,508.52
+ ,522.43
+ ,551.62
+ ,537.59
+ ,559.76
+ ,558.26
+ ,563.27
+ ,558.01
+ ,563.27
+ ,564.15
+ ,582.81
+ ,592.96
+ ,602.73
+ ,581.06
+ ,595.47
+ ,605.36
+ ,615.39
+ ,602.48
+ ,565.65
+ ,565.65
+ ,566.9
+ ,558.63
+ ,547.48
+ ,543.72
+ ,517.42
+ ,526.31
+ ,512.4
+ ,496.12
+ ,503.63
+ ,501.13
+ ,499.88
+ ,501.13
+ ,494.86
+ ,488.6
+ ,482.34
+ ,447.26
+ ,440.99
+ ,418.44
+ ,418.44
+ ,412.18
+ ,394.64
+ ,334.5
+ ,328.24
+ ,319.47
+ ,323.23
+ ,328.24
+ ,365.82
+ ,371.88
+ ,340.6
+ ,337.48
+ ,337.22
+ ,313.96
+ ,308.39
+ ,307.57
+ ,295.4
+ ,297.04
+ ,341.89
+ ,341.18
+ ,352.12
+ ,367.36
+ ,364.88
+ ,363.09
+ ,351.25
+ ,349.29
+ ,335.47
+ ,320.1
+ ,310.7
+ ,312.39
+ ,309.68
+ ,309.67
+ ,328.92
+ ,337.01
+ ,327.79
+ ,324.38
+ ,313.93
+ ,310.83
+ ,316.62
+ ,325.5
+ ,320.03
+ ,320.1
+ ,338.13
+ ,379.25
+ ,376.82
+ ,398.37
+ ,394.46
+ ,411.95
+ ,425.91
+ ,444.48
+ ,433.45
+ ,446.07
+ ,426.04
+ ,447.06
+ ,467.94
+ ,516.73
+ ,520.27
+ ,516.49
+ ,519.41
+ ,537.66
+ ,547.44
+ ,507.04
+ ,495.99
+ ,436.58
+ ,453.11
+ ,456.77
+ ,450.38
+ ,439.18
+ ,416.56
+ ,440.06
+ ,447.61
+ ,420.32
+ ,417.67
+ ,404.38
+ ,416.41
+ ,419.48
+ ,417.72
+ ,408.62
+ ,442.94
+ ,425.82
+ ,451.19
+ ,467.49
+ ,478.76
+ ,478.56
+ ,427.63
+ ,448.81
+ ,435.41
+ ,434.67
+ ,413.62
+ ,399.02
+ ,406.64
+ ,384.83
+ ,379.81
+ ,355.7
+ ,348.24
+ ,308.83
+ ,296.93
+ ,280.11
+ ,286.85
+ ,294.93
+ ,294.77
+ ,299.37
+ ,287.1
+ ,297.46
+ ,298.88
+ ,288.74
+ ,288.32
+ ,286.32
+ ,254.34
+ ,247.09
+ ,247.29
+ ,255.49
+ ,267.26
+ ,276.44
+ ,260.07
+ ,267.1
+ ,273.81
+ ,290.37
+ ,293.98
+ ,302.36
+ ,289.92
+ ,283.27
+ ,279.87
+ ,267.66
+ ,286.88
+ ,309.69
+ ,323.95
+ ,315.36
+ ,327.52
+ ,325.69
+ ,326.92
+ ,328.26
+ ,348.94
+ ,340.53
+ ,330.29
+ ,335.91
+ ,376.13
+ ,444.11
+ ,516.35
+ ,529.16
+ ,525.07
+ ,519.78
+ ,548.84
+ ,539.68
+ ,534.99
+ ,584.34
+ ,664.34
+ ,691.81
+ ,689.34
+ ,725.81
+ ,734.89
+ ,681.58
+ ,685.72
+ ,633.01
+ ,680.28
+ ,684.95
+ ,653.47
+ ,647.28
+ ,602.73
+ ,589.76
+ ,588.41
+ ,613.51
+ ,611.93
+ ,587.69
+ ,554.63
+ ,533.09
+ ,560.59
+ ,553.05
+ ,528.97
+ ,500.93
+ ,508.86
+ ,537.86
+ ,547.3
+ ,556.94
+ ,549.33
+ ,545.18
+ ,543.69
+ ,543.49
+ ,553.32
+ ,563.57
+ ,531.87
+ ,517.85
+ ,500.83
+ ,481.51
+ ,479.73
+ ,496.6
+ ,520.76
+ ,528.71
+ ,515.46
+ ,522
+ ,515.63
+ ,522.87
+ ,534.29
+ ,521.83
+ ,524.66
+ ,640.02
+ ,644.21
+ ,715.51
+ ,706.96
+ ,724.75
+ ,742.55
+ ,788.25
+ ,787.58
+ ,761.64
+ ,732.83
+ ,765.24
+ ,807.45
+ ,828.19
+ ,817.45
+ ,840.86
+ ,843.77
+ ,835.3
+ ,823.97
+ ,781.49
+ ,778.46
+ ,793.63
+ ,717.57
+ ,656.35
+ ,510.28
+ ,450.98
+ ,477.83
+ ,464.59
+ ,449.72
+ ,460.47
+ ,516.6
+ ,599.31
+ ,609.15
+ ,609.3
+ ,655.49
+ ,690.91
+ ,743.59
+ ,756.8
+ ,780.4
+ ,842.74
+ ,818.72
+ ,847.84
+ ,817.97
+ ,763.94
+ ,762.81
+ ,777.29
+ ,786.94
+ ,766.28)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = ''
> par2 = ''
> par1 = '0'
> 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 
-248.99  -99.88  -38.25   58.47  720.45 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 347.73869   30.24105   11.50   <2e-16 ***
x             0.84648    0.06107   13.86   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 163.2 on 367 degrees of freedom
Multiple R-squared: 0.3436,	Adjusted R-squared: 0.3418 
F-statistic: 192.1 on 1 and 367 DF,  p-value: < 2.2e-16 

> postscript(file="/var/wessaorg/rcomp/tmp/1fx3k1321397859.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/2g1fs1321397859.ps",horizontal=F,onefile=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 
-6.316e-13 -2.809e-14 -5.400e-16  2.898e-14  1.388e-13 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 3.477e+02  9.336e-15 3.725e+16   <2e-16 ***
x           8.465e-01  1.885e-17 4.490e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5.038e-14 on 367 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 2.016e+33 on 1 and 367 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/348rd1321397859.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-248.99  -99.88  -38.25   58.47  720.45 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -3.826e-15  3.024e+01       0        1
x            6.975e-18  6.107e-02       0        1

Residual standard error: 163.2 on 367 degrees of freedom
Multiple R-squared: 2.092e-35,	Adjusted R-squared: -0.002725 
F-statistic: 7.676e-33 on 1 and 367 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4lkoq1321397859.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-193.13  -87.43  -21.05   60.99  315.39 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 7.500e+02  6.147e+00     122   <2e-16 ***
m$residuals 2.510e-17  3.777e-02       0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 118.1 on 367 degrees of freedom
Multiple R-squared: 4.042e-32,	Adjusted R-squared: -0.002725 
F-statistic: 1.483e-29 on 1 and 367 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/wessaorg/rcomp/tmp/5bqai1321397859.ps",horizontal=F,onefile=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 
-286.117  -18.792   -1.375   16.291  193.984 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  0.26384    2.12215   0.124    0.901    
Residuals    0.96762    0.01302  74.302   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 40.71 on 366 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.9378,	Adjusted R-squared: 0.9377 
F-statistic:  5521 on 1 and 366 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6ofao1321397859.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7oxc31321397859.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8d4ht1321397859.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/92kei1321397859.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(x)
> qqline(x)
> grid()
> dev.off()
null device 
          1 
> 
> #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,'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/wessaorg/rcomp/tmp/10mtbq1321397859.tab") 
> 
> try(system("convert tmp/1fx3k1321397859.ps tmp/1fx3k1321397859.png",intern=TRUE))
character(0)
> try(system("convert tmp/2g1fs1321397859.ps tmp/2g1fs1321397859.png",intern=TRUE))
character(0)
> try(system("convert tmp/348rd1321397859.ps tmp/348rd1321397859.png",intern=TRUE))
character(0)
> try(system("convert tmp/4lkoq1321397859.ps tmp/4lkoq1321397859.png",intern=TRUE))
character(0)
> try(system("convert tmp/5bqai1321397859.ps tmp/5bqai1321397859.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ofao1321397859.ps tmp/6ofao1321397859.png",intern=TRUE))
character(0)
> try(system("convert tmp/7oxc31321397859.ps tmp/7oxc31321397859.png",intern=TRUE))
character(0)
> try(system("convert tmp/8d4ht1321397859.ps tmp/8d4ht1321397859.png",intern=TRUE))
character(0)
> try(system("convert tmp/92kei1321397859.ps tmp/92kei1321397859.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.866   0.529   3.441