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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> x <- c(567,557,547,527,729,719,567,466,476,476,486,507,446,385,335,335,527,547,395,223,314,314,385,426,416,314,365,345,517,476,314,193,304,335,365,405,324,254,284,294,557,557,405,385,446,416,497,598,618,476,436,395,669,689,638,689,679,598,689,790,831,709,628,689,952,1033,1013,1053,1043,942,1114,1155,1215,1033,962,1043,1236,1408,1367,1367,1387,1317,1499,1499,1468,1296,1327,1347,1479,1651,1529,1590,1539,1509,1742,1691,1620,1519,1620,1671,1732,1813,1732,1782,1721,1711,1964,1985,1904,1762,1883,1934,1995,2086,1995,2066,2035,1924,2157,2157)
> par4 = '12'
> par3 = 'Maandelijkse omzet treinabonnement (in 1000 EUR)'
> par2 = 'niet gekend'
> par1 = 'Maandelijkse omzet treinabonnement (in 1000 EUR)'
> ylimmax = ''
> ylimmin = ''
> ylab = 'waarde in 1000 EUR'
> xlab = 'maand'
> main = 'Maandelijkse omzet treinabonnement'
> par4 <- '12'
> par3 <- 'Maandelijkse omzet treinabonnement (in 1000 EUR)'
> par2 <- 'niet gekend'
> par1 <- 'Maandelijkse omzet treinabonnement (in 1000 EUR)'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Plot of univariate data series (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_univariatedataseries.wasp/
> #Source of accompanying publication: 
> #
> if (par4 != 'No season') {
+ par4 <- as.numeric(par4)
+ if (par4 < 4) par4 <- 12
+ }
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  193.0   461.0   714.0   978.5  1512.0  2157.0 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1i1pe1343478942.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/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,'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/wessaorg/rcomp/tmp/2itq71343478942.tab") 
> 
> try(system("convert tmp/1i1pe1343478942.ps tmp/1i1pe1343478942.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.686   0.117   0.796