R version 3.2.2 (2015-08-14) -- "Fire Safety"
Copyright (C) 2015 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(340.7,343.5,345.3,346.9,349,351.4,353,355,360.1,364.7,366.5,369,369.9,370.8,374.5,378.4,381.3,383.5,387.6,391.7,395.4,399.3,403.3,406.6,410.5,413.5,418.7,421.7,422.8,425.8,427.6,431,434.3,437.6,440.4,443.5,446.2,446.2,449.7,454.2,458.4,461.1,464,466.2,468.7,471.8,474.9,477.5,480,482.8,485.7,488.5,492,495.1,498.5,502.2,502.1,510,515,520.4,525.2,530.1,534.5,538.5,544.4,548.4,551.9,554.9,558.1,561.3,564.4,567,568.7,570.9,572.5,574.6,577.1,580.9,583.3,586.5)
> par4 = '12'
> par3 = 'In deze gegevens zien we de werkgelegenheid in België in de gezondheid- en welzijnszorg.'
> par2 = 'nbb.be'
> par1 = ''
> ylimmax = ''
> ylimmin = ''
> ylab = 'Aantal werkzame personen (in duizenden)'
> xlab = 'Periode per kwartaal'
> main = 'Werkgelegenheid in de gezondheidssector'
> par4 <- '12'
> par3 <- 'In deze gegevens zien we de werkgelegenheid in België in de gezondheid- en welzijnszorg.'
> par2 <- 'nbb.be'
> par1 <- ''
> #'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. 
  340.7   394.5   456.3   459.0   521.6   586.5 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1prmi1443722543.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/2fk951443722543.tab") 
> 
> try(system("convert tmp/1prmi1443722543.ps tmp/1prmi1443722543.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.509   0.096   0.605