R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(104.92,105.46,105.23,105.58,105.34,105.28,105.70,105.67,105.71,106.19,106.93,107.44,107.85,108.71,109.32,109.49,110.20,110.62,111.22,110.88,111.15,111.29,111.09,111.24,111.45,111.75,111.07,111.17,110.96,110.50,110.48,110.66,110.46,110.64,110.75,110.96,111.36,111.90,112.11,112.34,112.72,112.74,112.86,112.94,113.29,113.46,113.55,113.84,114.38,115.05,115.39,115.57,115.98,116.43,116.61,116.49,116.73,116.96,117.40,117.52,118.25,118.97,119.01,118.99,119.15,119.00,119.21,119.47,119.52,119.87,119.95,120.06)
> par4 = '12'
> par3 = 'health index'
> par2 = ''
> par1 = 'health index'
> ylimmax = as.numeric(130)
> ylimmin = as.numeric(100)
> ylab = 'value'
> xlab = 'Maand '
> main = 'Univariate Data'
> par4 <- '12'
> par3 <- 'health index'
> par2 <- ''
> par1 <- 'health index'
> #'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. 
  104.9   110.5   111.6   112.5   116.4   120.1 
> n <- length(x)
> postscript(file="/var/fisher/rcomp/tmp/1osfe1361464561.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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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/fisher/rcomp/tmp/2u3191361464561.tab") 
> 
> try(system("convert tmp/1osfe1361464561.ps tmp/1osfe1361464561.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.836   0.230   1.049