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)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- c(170588
+ ,86621
+ ,113337
+ ,152510
+ ,86206
+ ,37257
+ ,306055
+ ,32750
+ ,116502
+ ,130539
+ ,161876
+ ,128274
+ ,102350
+ ,193024
+ ,141574
+ ,253559
+ ,181110
+ ,198432
+ ,113853
+ ,159940
+ ,166822
+ ,286675
+ ,91657
+ ,108278
+ ,146342
+ ,145142
+ ,161740
+ ,160905
+ ,106888
+ ,188150
+ ,189401
+ ,129484
+ ,204030
+ ,62731
+ ,243625
+ ,167255
+ ,264528
+ ,122024
+ ,80964
+ ,209795
+ ,224205
+ ,115971
+ ,138191
+ ,81106
+ ,93125
+ ,305756
+ ,78800
+ ,158835
+ ,221745
+ ,131108
+ ,128734
+ ,24188
+ ,257662
+ ,65029
+ ,98066
+ ,173587
+ ,180042
+ ,197266
+ ,212060
+ ,141582
+ ,245107
+ ,206879
+ ,145696
+ ,170635
+ ,142064
+ ,114820
+ ,113461
+ ,145285
+ ,150999
+ ,91812
+ ,118807
+ ,69471
+ ,126630
+ ,145908
+ ,98393
+ ,190926
+ ,198797
+ ,106193
+ ,89318
+ ,120362
+ ,98791
+ ,274953
+ ,132798
+ ,135251
+ ,80953
+ ,109237
+ ,96634
+ ,226191
+ ,171286
+ ,117815
+ ,133561
+ ,152193
+ ,112004
+ ,169613
+ ,187483
+ ,130533
+ ,142339
+ ,189764
+ ,201603
+ ,246834
+ ,155947
+ ,182581
+ ,106351
+ ,43287
+ ,127493
+ ,127930
+ ,149006
+ ,187653
+ ,74112
+ ,94006
+ ,176625
+ ,141933
+ ,22938
+ ,125927
+ ,61857
+ ,91290
+ ,255100
+ ,21054
+ ,169093
+ ,31414
+ ,188701
+ ,137544
+ ,77166
+ ,74567
+ ,38214
+ ,90961
+ ,194224
+ ,135261
+ ,244272
+ ,201748
+ ,256402
+ ,139144
+ ,76470
+ ,189502
+ ,280334
+ ,50999
+ ,253274
+ ,103239
+ ,168059
+ ,128768
+ ,75746
+ ,249232
+ ,152366
+ ,173260
+ ,197197
+ ,67507
+ ,139409
+ ,185366
+ ,0
+ ,14688
+ ,98
+ ,455
+ ,0
+ ,0
+ ,137885
+ ,185288
+ ,0
+ ,203
+ ,7199
+ ,46660
+ ,17547
+ ,73567
+ ,969
+ ,105477)
> par2 = '36'
> par1 = '0'
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> x <- as.ts(x)
> library(lattice)
> postscript(file="/var/wessaorg/rcomp/tmp/1umrp1321877175.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/2doy51321877175.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(x)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3cofy1321877175.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~x,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~x,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4p4nv1321877175.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 
> if (par2 > 0)
+ {
+ postscript(file="/var/wessaorg/rcomp/tmp/5112b1321877175.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ dum <- cbind(lag(x,k=1),x)
+ dum
+ dum1 <- dum[2:length(x),]
+ dum1
+ z <- as.data.frame(dum1)
+ z
+ plot(z,main='Lag plot (k=1), lowess, and regression line')
+ lines(lowess(z))
+ abline(lm(z))
+ dev.off()
+ if (par2 > 1) {
+ postscript(file="/var/wessaorg/rcomp/tmp/6ikwr1321877175.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ dum <- cbind(lag(x,k=par2),x)
+ dum
+ dum1 <- dum[(par2+1):length(x),]
+ dum1
+ z <- as.data.frame(dum1)
+ z
+ mylagtitle <- 'Lag plot (k='
+ mylagtitle <- paste(mylagtitle,par2,sep='')
+ mylagtitle <- paste(mylagtitle,'), and lowess',sep='')
+ plot(z,main=mylagtitle)
+ lines(lowess(z))
+ dev.off()
+ }
+ postscript(file="/var/wessaorg/rcomp/tmp/7r7qy1321877175.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ acf(x,lag.max=par2,main='Autocorrelation Function')
+ grid()
+ dev.off()
+ }
null device 
          1 
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
      0   91570  135300  135600  183300  306100 
> 
> #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,'Descriptive Statistics',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'# observations',header=TRUE)
> a<-table.element(a,length(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'minimum',header=TRUE)
> a<-table.element(a,min(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,quantile(x,0.25))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'median',header=TRUE)
> a<-table.element(a,median(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,mean(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,quantile(x,0.75))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'maximum',header=TRUE)
> a<-table.element(a,max(x))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/8c1h61321877175.tab") 
> 
> try(system("convert tmp/1umrp1321877175.ps tmp/1umrp1321877175.png",intern=TRUE))
character(0)
> try(system("convert tmp/2doy51321877175.ps tmp/2doy51321877175.png",intern=TRUE))
character(0)
> try(system("convert tmp/3cofy1321877175.ps tmp/3cofy1321877175.png",intern=TRUE))
character(0)
> try(system("convert tmp/4p4nv1321877175.ps tmp/4p4nv1321877175.png",intern=TRUE))
character(0)
> try(system("convert tmp/5112b1321877175.ps tmp/5112b1321877175.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ikwr1321877175.ps tmp/6ikwr1321877175.png",intern=TRUE))
character(0)
> try(system("convert tmp/7r7qy1321877175.ps tmp/7r7qy1321877175.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.955   0.340   2.302