R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-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.

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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.

> x <- array(list(1966
+ ,1
+ ,41
+ ,1966
+ ,2
+ ,39
+ ,1966
+ ,3
+ ,50
+ ,1966
+ ,4
+ ,40
+ ,1966
+ ,5
+ ,43
+ ,1966
+ ,6
+ ,38
+ ,1966
+ ,7
+ ,44
+ ,1966
+ ,8
+ ,35
+ ,1966
+ ,9
+ ,39
+ ,1966
+ ,10
+ ,35
+ ,1966
+ ,11
+ ,29
+ ,1966
+ ,12
+ ,49
+ ,1967
+ ,1
+ ,50
+ ,1967
+ ,2
+ ,59
+ ,1967
+ ,3
+ ,63
+ ,1967
+ ,4
+ ,32
+ ,1967
+ ,5
+ ,39
+ ,1967
+ ,6
+ ,47
+ ,1967
+ ,7
+ ,53
+ ,1967
+ ,8
+ ,60
+ ,1967
+ ,9
+ ,57
+ ,1967
+ ,10
+ ,52
+ ,1967
+ ,11
+ ,70
+ ,1967
+ ,12
+ ,90
+ ,1968
+ ,1
+ ,74
+ ,1968
+ ,2
+ ,62
+ ,1968
+ ,3
+ ,55
+ ,1968
+ ,4
+ ,84
+ ,1968
+ ,5
+ ,94
+ ,1968
+ ,6
+ ,70
+ ,1968
+ ,7
+ ,108
+ ,1968
+ ,8
+ ,139
+ ,1968
+ ,9
+ ,120
+ ,1968
+ ,10
+ ,97
+ ,1968
+ ,11
+ ,126
+ ,1968
+ ,12
+ ,149
+ ,1969
+ ,1
+ ,158
+ ,1969
+ ,2
+ ,124
+ ,1969
+ ,3
+ ,140
+ ,1969
+ ,4
+ ,109
+ ,1969
+ ,5
+ ,114
+ ,1969
+ ,6
+ ,77
+ ,1969
+ ,7
+ ,120
+ ,1969
+ ,8
+ ,133
+ ,1969
+ ,9
+ ,110
+ ,1969
+ ,10
+ ,92
+ ,1969
+ ,11
+ ,97
+ ,1969
+ ,12
+ ,78
+ ,1970
+ ,1
+ ,99
+ ,1970
+ ,2
+ ,107
+ ,1970
+ ,3
+ ,112
+ ,1970
+ ,4
+ ,90
+ ,1970
+ ,5
+ ,98
+ ,1970
+ ,6
+ ,125
+ ,1970
+ ,7
+ ,155
+ ,1970
+ ,8
+ ,190
+ ,1970
+ ,9
+ ,236
+ ,1970
+ ,10
+ ,189
+ ,1970
+ ,11
+ ,174
+ ,1970
+ ,12
+ ,178
+ ,1971
+ ,1
+ ,136
+ ,1971
+ ,2
+ ,161
+ ,1971
+ ,3
+ ,171
+ ,1971
+ ,4
+ ,149
+ ,1971
+ ,5
+ ,184
+ ,1971
+ ,6
+ ,155
+ ,1971
+ ,7
+ ,276
+ ,1971
+ ,8
+ ,224
+ ,1971
+ ,9
+ ,213
+ ,1971
+ ,10
+ ,279
+ ,1971
+ ,11
+ ,268
+ ,1971
+ ,12
+ ,287
+ ,1972
+ ,1
+ ,238
+ ,1972
+ ,2
+ ,213
+ ,1972
+ ,3
+ ,257
+ ,1972
+ ,4
+ ,293
+ ,1972
+ ,5
+ ,212
+ ,1972
+ ,6
+ ,246
+ ,1972
+ ,7
+ ,353
+ ,1972
+ ,8
+ ,339
+ ,1972
+ ,9
+ ,308
+ ,1972
+ ,10
+ ,247
+ ,1972
+ ,11
+ ,257
+ ,1972
+ ,12
+ ,322
+ ,1973
+ ,1
+ ,298
+ ,1973
+ ,2
+ ,273
+ ,1973
+ ,3
+ ,312
+ ,1973
+ ,4
+ ,249
+ ,1973
+ ,5
+ ,286
+ ,1973
+ ,6
+ ,279
+ ,1973
+ ,7
+ ,309
+ ,1973
+ ,8
+ ,401
+ ,1973
+ ,9
+ ,309
+ ,1973
+ ,10
+ ,328
+ ,1973
+ ,11
+ ,353
+ ,1973
+ ,12
+ ,354
+ ,1974
+ ,1
+ ,327
+ ,1974
+ ,2
+ ,324
+ ,1974
+ ,3
+ ,285
+ ,1974
+ ,4
+ ,243
+ ,1974
+ ,5
+ ,241
+ ,1974
+ ,6
+ ,287
+ ,1974
+ ,7
+ ,355
+ ,1974
+ ,8
+ ,460
+ ,1974
+ ,9
+ ,364
+ ,1974
+ ,10
+ ,487
+ ,1974
+ ,11
+ ,452
+ ,1974
+ ,12
+ ,391
+ ,1975
+ ,1
+ ,500
+ ,1975
+ ,2
+ ,451
+ ,1975
+ ,3
+ ,375
+ ,1975
+ ,4
+ ,372
+ ,1975
+ ,5
+ ,302
+ ,1975
+ ,6
+ ,316
+ ,1975
+ ,7
+ ,398
+ ,1975
+ ,8
+ ,394
+ ,1975
+ ,9
+ ,431
+ ,1975
+ ,10
+ ,431)
+ ,dim=c(3
+ ,118)
+ ,dimnames=list(c('Year'
+ ,'Month'
+ ,'Robberies')
+ ,1:118))
>  y <- array(NA,dim=c(3,118),dimnames=list(c('Year','Month','Robberies'),1:118))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par4 = 'no'
> par3 = '2'
> par2 = 'quantiles'
> par1 = '3'
> library(party)
Loading required package: survival
Loading required package: splines
Loading required package: grid
Loading required package: modeltools
Loading required package: stats4
Loading required package: coin
Loading required package: mvtnorm
Loading required package: zoo

Attaching package: 'zoo'

The following object(s) are masked from 'package:base':

    as.Date, as.Date.numeric

Loading required package: sandwich
Loading required package: strucchange
Loading required package: vcd
Loading required package: MASS
Loading required package: colorspace
> library(Hmisc)
Hmisc library by Frank E Harrell Jr

Type library(help='Hmisc'), ?Overview, or ?Hmisc.Overview')
to see overall documentation.

NOTE:Hmisc no longer redefines [.factor to drop unused levels when
subsetting.  To get the old behavior of Hmisc type dropUnusedLevels().


Attaching package: 'Hmisc'

The following object(s) are masked from 'package:survival':

    untangle.specials

The following object(s) are masked from 'package:base':

    format.pval, round.POSIXt, trunc.POSIXt, units

> par1 <- as.numeric(par1)
> par3 <- as.numeric(par3)
> x <- data.frame(t(y))
> is.data.frame(x)
[1] TRUE
> x <- x[!is.na(x[,par1]),]
> k <- length(x[1,])
> n <- length(x[,1])
> colnames(x)[par1]
[1] "Robberies"
> x[,par1]
  [1]  41  39  50  40  43  38  44  35  39  35  29  49  50  59  63  32  39  47
 [19]  53  60  57  52  70  90  74  62  55  84  94  70 108 139 120  97 126 149
 [37] 158 124 140 109 114  77 120 133 110  92  97  78  99 107 112  90  98 125
 [55] 155 190 236 189 174 178 136 161 171 149 184 155 276 224 213 279 268 287
 [73] 238 213 257 293 212 246 353 339 308 247 257 322 298 273 312 249 286 279
 [91] 309 401 309 328 353 354 327 324 285 243 241 287 355 460 364 487 452 391
[109] 500 451 375 372 302 316 398 394 431 431
> if (par2 == 'kmeans') {
+ cl <- kmeans(x[,par1], par3)
+ print(cl)
+ clm <- matrix(cbind(cl$centers,1:par3),ncol=2)
+ clm <- clm[sort.list(clm[,1]),]
+ for (i in 1:par3) {
+ cl$cluster[cl$cluster==clm[i,2]] <- paste('C',i,sep='')
+ }
+ cl$cluster <- as.factor(cl$cluster)
+ print(cl$cluster)
+ x[,par1] <- cl$cluster
+ }
> if (par2 == 'quantiles') {
+ x[,par1] <- cut2(x[,par1],g=par3)
+ }
> if (par2 == 'hclust') {
+ hc <- hclust(dist(x[,par1])^2, 'cen')
+ print(hc)
+ memb <- cutree(hc, k = par3)
+ dum <- c(mean(x[memb==1,par1]))
+ for (i in 2:par3) {
+ dum <- c(dum, mean(x[memb==i,par1]))
+ }
+ hcm <- matrix(cbind(dum,1:par3),ncol=2)
+ hcm <- hcm[sort.list(hcm[,1]),]
+ for (i in 1:par3) {
+ memb[memb==hcm[i,2]] <- paste('C',i,sep='')
+ }
+ memb <- as.factor(memb)
+ print(memb)
+ x[,par1] <- memb
+ }
> if (par2=='equal') {
+ ed <- cut(as.numeric(x[,par1]),par3,labels=paste('C',1:par3,sep=''))
+ x[,par1] <- as.factor(ed)
+ }
> table(x[,par1])

[ 29,171) [171,500] 
       59        59 
> colnames(x)
[1] "Year"      "Month"     "Robberies"
> colnames(x)[par1]
[1] "Robberies"
> x[,par1]
  [1] [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171)
  [8] [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171)
 [15] [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171)
 [22] [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171)
 [29] [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171)
 [36] [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171)
 [43] [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171)
 [50] [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [ 29,171) [171,500]
 [57] [171,500] [171,500] [171,500] [171,500] [ 29,171) [ 29,171) [171,500]
 [64] [ 29,171) [171,500] [ 29,171) [171,500] [171,500] [171,500] [171,500]
 [71] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500]
 [78] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500]
 [85] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500]
 [92] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500]
 [99] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500]
[106] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500]
[113] [171,500] [171,500] [171,500] [171,500] [171,500] [171,500]
Levels: [ 29,171) [171,500]
> if (par2 == 'none') {
+ m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x)
+ }
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> if (par2 != 'none') {
+ m <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data = x)
+ if (par4=='yes') {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'10-Fold Cross Validation',3+2*par3,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'',1,TRUE)
+ a<-table.element(a,'Prediction (training)',par3+1,TRUE)
+ a<-table.element(a,'Prediction (testing)',par3+1,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Actual',1,TRUE)
+ for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
+ a<-table.element(a,'CV',1,TRUE)
+ for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
+ a<-table.element(a,'CV',1,TRUE)
+ a<-table.row.end(a)
+ for (i in 1:10) {
+ ind <- sample(2, nrow(x), replace=T, prob=c(0.9,0.1))
+ m.ct <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data =x[ind==1,])
+ if (i==1) {
+ m.ct.i.pred <- predict(m.ct, newdata=x[ind==1,])
+ m.ct.i.actu <- x[ind==1,par1]
+ m.ct.x.pred <- predict(m.ct, newdata=x[ind==2,])
+ m.ct.x.actu <- x[ind==2,par1]
+ } else {
+ m.ct.i.pred <- c(m.ct.i.pred,predict(m.ct, newdata=x[ind==1,]))
+ m.ct.i.actu <- c(m.ct.i.actu,x[ind==1,par1])
+ m.ct.x.pred <- c(m.ct.x.pred,predict(m.ct, newdata=x[ind==2,]))
+ m.ct.x.actu <- c(m.ct.x.actu,x[ind==2,par1])
+ }
+ }
+ print(m.ct.i.tab <- table(m.ct.i.actu,m.ct.i.pred))
+ numer <- 0
+ for (i in 1:par3) {
+ print(m.ct.i.tab[i,i] / sum(m.ct.i.tab[i,]))
+ numer <- numer + m.ct.i.tab[i,i]
+ }
+ print(m.ct.i.cp <- numer / sum(m.ct.i.tab))
+ print(m.ct.x.tab <- table(m.ct.x.actu,m.ct.x.pred))
+ numer <- 0
+ for (i in 1:par3) {
+ print(m.ct.x.tab[i,i] / sum(m.ct.x.tab[i,]))
+ numer <- numer + m.ct.x.tab[i,i]
+ }
+ print(m.ct.x.cp <- numer / sum(m.ct.x.tab))
+ for (i in 1:par3) {
+ a<-table.row.start(a)
+ a<-table.element(a,paste('C',i,sep=''),1,TRUE)
+ for (jjj in 1:par3) a<-table.element(a,m.ct.i.tab[i,jjj])
+ a<-table.element(a,round(m.ct.i.tab[i,i]/sum(m.ct.i.tab[i,]),4))
+ for (jjj in 1:par3) a<-table.element(a,m.ct.x.tab[i,jjj])
+ a<-table.element(a,round(m.ct.x.tab[i,i]/sum(m.ct.x.tab[i,]),4))
+ a<-table.row.end(a)
+ }
+ a<-table.row.start(a)
+ a<-table.element(a,'Overall',1,TRUE)
+ for (jjj in 1:par3) a<-table.element(a,'-')
+ a<-table.element(a,round(m.ct.i.cp,4))
+ for (jjj in 1:par3) a<-table.element(a,'-')
+ a<-table.element(a,round(m.ct.x.cp,4))
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/1v74c1355158733.tab") 
+ }
+ }
> m

	 Conditional inference tree with 4 terminal nodes

Response:  as.factor(Robberies) 
Inputs:  Year, Month 
Number of observations:  118 

1) Year <= 1970; criterion = 1, statistic = 83.104
  2) Year <= 1969; criterion = 0.998, statistic = 10.727
    3)*  weights = 48 
  2) Year > 1969
    4)*  weights = 12 
1) Year > 1970
  5) Year <= 1971; criterion = 0.992, statistic = 8.173
    6)*  weights = 12 
  5) Year > 1971
    7)*  weights = 46 
> postscript(file="/var/wessaorg/rcomp/tmp/2z67c1355158733.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3jlta1355158733.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x[,par1] ~ as.factor(where(m)),main='Response by Terminal Node',xlab='Terminal Node',ylab='Response')
> dev.off()
null device 
          1 
> if (par2 == 'none') {
+ forec <- predict(m)
+ result <- as.data.frame(cbind(x[,par1],forec,x[,par1]-forec))
+ colnames(result) <- c('Actuals','Forecasts','Residuals')
+ print(result)
+ }
> if (par2 != 'none') {
+ print(cbind(as.factor(x[,par1]),predict(m)))
+ myt <- table(as.factor(x[,par1]),predict(m))
+ print(myt)
+ }
       [,1] [,2]
  [1,]    1    1
  [2,]    1    1
  [3,]    1    1
  [4,]    1    1
  [5,]    1    1
  [6,]    1    1
  [7,]    1    1
  [8,]    1    1
  [9,]    1    1
 [10,]    1    1
 [11,]    1    1
 [12,]    1    1
 [13,]    1    1
 [14,]    1    1
 [15,]    1    1
 [16,]    1    1
 [17,]    1    1
 [18,]    1    1
 [19,]    1    1
 [20,]    1    1
 [21,]    1    1
 [22,]    1    1
 [23,]    1    1
 [24,]    1    1
 [25,]    1    1
 [26,]    1    1
 [27,]    1    1
 [28,]    1    1
 [29,]    1    1
 [30,]    1    1
 [31,]    1    1
 [32,]    1    1
 [33,]    1    1
 [34,]    1    1
 [35,]    1    1
 [36,]    1    1
 [37,]    1    1
 [38,]    1    1
 [39,]    1    1
 [40,]    1    1
 [41,]    1    1
 [42,]    1    1
 [43,]    1    1
 [44,]    1    1
 [45,]    1    1
 [46,]    1    1
 [47,]    1    1
 [48,]    1    1
 [49,]    1    1
 [50,]    1    1
 [51,]    1    1
 [52,]    1    1
 [53,]    1    1
 [54,]    1    1
 [55,]    1    1
 [56,]    2    1
 [57,]    2    1
 [58,]    2    1
 [59,]    2    1
 [60,]    2    1
 [61,]    1    2
 [62,]    1    2
 [63,]    2    2
 [64,]    1    2
 [65,]    2    2
 [66,]    1    2
 [67,]    2    2
 [68,]    2    2
 [69,]    2    2
 [70,]    2    2
 [71,]    2    2
 [72,]    2    2
 [73,]    2    2
 [74,]    2    2
 [75,]    2    2
 [76,]    2    2
 [77,]    2    2
 [78,]    2    2
 [79,]    2    2
 [80,]    2    2
 [81,]    2    2
 [82,]    2    2
 [83,]    2    2
 [84,]    2    2
 [85,]    2    2
 [86,]    2    2
 [87,]    2    2
 [88,]    2    2
 [89,]    2    2
 [90,]    2    2
 [91,]    2    2
 [92,]    2    2
 [93,]    2    2
 [94,]    2    2
 [95,]    2    2
 [96,]    2    2
 [97,]    2    2
 [98,]    2    2
 [99,]    2    2
[100,]    2    2
[101,]    2    2
[102,]    2    2
[103,]    2    2
[104,]    2    2
[105,]    2    2
[106,]    2    2
[107,]    2    2
[108,]    2    2
[109,]    2    2
[110,]    2    2
[111,]    2    2
[112,]    2    2
[113,]    2    2
[114,]    2    2
[115,]    2    2
[116,]    2    2
[117,]    2    2
[118,]    2    2
           
            [ 29,171) [171,500]
  [ 29,171)        55         4
  [171,500]         5        54
> postscript(file="/var/wessaorg/rcomp/tmp/4r7f01355158733.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if(par2=='none') {
+ op <- par(mfrow=c(2,2))
+ plot(density(result$Actuals),main='Kernel Density Plot of Actuals')
+ plot(density(result$Residuals),main='Kernel Density Plot of Residuals')
+ plot(result$Forecasts,result$Actuals,main='Actuals versus Predictions',xlab='Predictions',ylab='Actuals')
+ plot(density(result$Forecasts),main='Kernel Density Plot of Predictions')
+ par(op)
+ }
> if(par2!='none') {
+ plot(myt,main='Confusion Matrix',xlab='Actual',ylab='Predicted')
+ }
> dev.off()
null device 
          1 
> if (par2 == 'none') {
+ detcoef <- cor(result$Forecasts,result$Actuals)
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Goodness of Fit',2,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Correlation',1,TRUE)
+ a<-table.element(a,round(detcoef,4))
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'R-squared',1,TRUE)
+ a<-table.element(a,round(detcoef*detcoef,4))
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'RMSE',1,TRUE)
+ a<-table.element(a,round(sqrt(mean((result$Residuals)^2)),4))
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/5jidj1355158733.tab") 
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'#',header=TRUE)
+ a<-table.element(a,'Actuals',header=TRUE)
+ a<-table.element(a,'Forecasts',header=TRUE)
+ a<-table.element(a,'Residuals',header=TRUE)
+ a<-table.row.end(a)
+ for (i in 1:length(result$Actuals)) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,result$Actuals[i])
+ a<-table.element(a,result$Forecasts[i])
+ a<-table.element(a,result$Residuals[i])
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/6olfw1355158733.tab") 
+ }
> if (par2 != 'none') {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Confusion Matrix (predicted in columns / actuals in rows)',par3+1,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'',1,TRUE)
+ for (i in 1:par3) {
+ a<-table.element(a,paste('C',i,sep=''),1,TRUE)
+ }
+ a<-table.row.end(a)
+ for (i in 1:par3) {
+ a<-table.row.start(a)
+ a<-table.element(a,paste('C',i,sep=''),1,TRUE)
+ for (j in 1:par3) {
+ a<-table.element(a,myt[i,j])
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/73vz71355158733.tab") 
+ }
> 
> try(system("convert tmp/2z67c1355158733.ps tmp/2z67c1355158733.png",intern=TRUE))
character(0)
> try(system("convert tmp/3jlta1355158733.ps tmp/3jlta1355158733.png",intern=TRUE))
character(0)
> try(system("convert tmp/4r7f01355158733.ps tmp/4r7f01355158733.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.788   0.397   4.425