R version 2.12.1 (2010-12-16)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-redhat-linux-gnu (64-bit)

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> x <- c(2435,1379,1511,2021,1614,1680,1630,870,1877,2428,1711,127,3192,1934,2075,1700,1198,1582,1705,911,1817,1168,920,84,2254,1485,1886,1358,1167,1781,1218,779,1418,1641,1196,132,2926,1777,2094,1648,1646,1537,1917,977,1475,2124,1209,135,2917,1981,1398,1171,903,1390,1280,781,1828,1631,1063,186,2275,1342,1070,950,1121,1305,1586,548,1225,1419,880,124,2044,1143,897,1264,1326,1529,1373,587,1137,1426,1016,176)
> par4 = '12'
> par3 = 'Verkoopcijfers Volvo'
> par2 = 'BOVAG'
> par1 = 'Verkoop cijfers Volvo Nederland'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Aantal verkochte wagens'
> xlab = 'Maand'
> main = 'Verkoopcijfers Volvo Nederland'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, 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: 
> #Technical description: 
> if (par4 != 'No season') {
+ par4 <- as.numeric(par4)
+ if (par4 < 4) par4 <- 12
+ }
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
     84    1068    1394    1400    1728    3192 
> n <- length(x)
> postscript(file="/var/www/wessaorg/rcomp/tmp/1jjoi1297933839.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par4=='No season') {
+ plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
+ axis(1,at=seq(1,n,10))
+ }
> if (par4!='No season') {
+ plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
+ axis(1,at=seq(1,n,par4))
+ grid(nx=0,ny=NULL,col='black')
+ abline(v=seq(1,n,par4),col='black',lty='dotted')
+ }
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Univariate Dataseries',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Name of dataseries',header=TRUE)
> a<-table.element(a,par1)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Source',header=TRUE)
> a<-table.element(a,par2)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Description',header=TRUE)
> a<-table.element(a,par3)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Number of observations',header=TRUE)
> a<-table.element(a,length(x))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/wessaorg/rcomp/tmp/24mdt1297933839.tab") 
> 
> try(system("convert tmp/1jjoi1297933839.ps tmp/1jjoi1297933839.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.510   0.070   0.595