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(305687
+ ,305115
+ ,280379
+ ,280039
+ ,274949
+ ,264528
+ ,257662
+ ,254599
+ ,253056
+ ,245478
+ ,245107
+ ,244909
+ ,243180
+ ,242153
+ ,236316
+ ,234863
+ ,220835
+ ,213487
+ ,213310
+ ,209631
+ ,208823
+ ,201748
+ ,201603
+ ,201409
+ ,197067
+ ,197033
+ ,193662
+ ,192887
+ ,191467
+ ,190729
+ ,189764
+ ,189066
+ ,187289
+ ,185366
+ ,185288
+ ,185279
+ ,183260
+ ,183059
+ ,182557
+ ,181853
+ ,179571
+ ,176577
+ ,175663
+ ,173587
+ ,173260
+ ,170635
+ ,170588
+ ,169613
+ ,169569
+ ,169093
+ ,168059
+ ,167255
+ ,167226
+ ,166142
+ ,161729
+ ,160905
+ ,157566
+ ,156990
+ ,155012
+ ,154730
+ ,152366
+ ,152193
+ ,148857
+ ,145908
+ ,145120
+ ,144530
+ ,143937
+ ,142339
+ ,142286
+ ,141933
+ ,141150
+ ,139409
+ ,139144
+ ,137544
+ ,135306
+ ,134088
+ ,132798
+ ,131337
+ ,131108
+ ,130539
+ ,130533
+ ,130413
+ ,129796
+ ,129340
+ ,129100
+ ,128873
+ ,128768
+ ,128734
+ ,128274
+ ,128075
+ ,127930
+ ,127394
+ ,127185
+ ,126630
+ ,125927
+ ,121976
+ ,121630
+ ,120362
+ ,118807
+ ,117805
+ ,115911
+ ,115885
+ ,113450
+ ,113337
+ ,112004
+ ,109237
+ ,108715
+ ,107434
+ ,106888
+ ,106351
+ ,106193
+ ,105477
+ ,102350
+ ,101324
+ ,98791
+ ,98466
+ ,98066
+ ,96981
+ ,96634
+ ,93125
+ ,91185
+ ,90961
+ ,90938
+ ,89882
+ ,89318
+ ,89059
+ ,86621
+ ,81530
+ ,81106
+ ,80964
+ ,80953
+ ,78800
+ ,76470
+ ,75746
+ ,75032
+ ,74112
+ ,73567
+ ,71908
+ ,69471
+ ,67507
+ ,65029
+ ,62731
+ ,61857
+ ,50999
+ ,46660
+ ,43287
+ ,38214
+ ,35523
+ ,32750
+ ,31414
+ ,24188
+ ,22938
+ ,21054
+ ,17547
+ ,14688
+ ,7199
+ ,969
+ ,455
+ ,203
+ ,98
+ ,0
+ ,0
+ ,0
+ ,0)
> par2 = '36'
> par1 = '0'
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> x <- as.ts(x)
> library(lattice)
> postscript(file="/var/wessaorg/rcomp/tmp/1x1np1321785583.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/2za391321785583.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/3hjg01321785583.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/4s4ym1321785583.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/5qayk1321785583.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/649wp1321785583.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/7llwl1321785583.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   90670  130100  133200  177300  305700 
> 
> #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/8kszh1321785583.tab") 
> 
> try(system("convert tmp/1x1np1321785583.ps tmp/1x1np1321785583.png",intern=TRUE))
character(0)
> try(system("convert tmp/2za391321785583.ps tmp/2za391321785583.png",intern=TRUE))
character(0)
> try(system("convert tmp/3hjg01321785583.ps tmp/3hjg01321785583.png",intern=TRUE))
character(0)
> try(system("convert tmp/4s4ym1321785583.ps tmp/4s4ym1321785583.png",intern=TRUE))
character(0)
> try(system("convert tmp/5qayk1321785583.ps tmp/5qayk1321785583.png",intern=TRUE))
character(0)
> try(system("convert tmp/649wp1321785583.ps tmp/649wp1321785583.png",intern=TRUE))
character(0)
> try(system("convert tmp/7llwl1321785583.ps tmp/7llwl1321785583.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.952   0.337   2.646