R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2.21,2.25,2.25,2.45,2.5,2.5,2.64,2.75,2.93,3,3.17,3.25,3.39,3.5,3.5,3.65,3.75,3.75,3.9,4,4,4,4,4,4,4,4,4,4,4,4,4.18,4.25,4.25,3.97,3.42,2.75,2.31,2,1.66,1.31,1.09,1,1,1,1)
> x <- c(1.4,1.2,1,1.7,2.4,2,2.1,2,1.8,2.7,2.3,1.9,2,2.3,2.8,2.4,2.3,2.7,2.7,2.9,3,2.2,2.3,2.8,2.8,2.8,2.2,2.6,2.8,2.5,2.4,2.3,1.9,1.7,2,2.1,1.7,1.8,1.8,1.8,1.3,1.3,1.3,1.2,1.4,2.2,2.9,3.1,3.5,3.6,4.4,4.1,5.1,5.8,5.9,5.4,5.5,4.8,3.2,2.7,2.1,1.9,0.6,0.7,-0.2,-1,-1.7,-0.7,-1)
> par5 = 'Rente'
> par4 = 'Inflatie'
> par3 = 'TRUE'
> par2 = 'yellow'
> par1 = 'blue'
> ylab = ''
> main = 'Back to Back Histogram'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), 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: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par3 == 'TRUE') par3 <- TRUE
> if (par3 == 'FALSE') par3 <- FALSE
> library(Hmisc)

Attaching package: 'Hmisc'


	The following object(s) are masked from package:base :

	 format.pval,
	 round.POSIXt,
	 trunc.POSIXt,
	 units 

> z <- data.frame(cbind(x,y))
> names(z) <- list(par4,par5)
> postscript(file="/var/www/html/freestat/rcomp/tmp/13gb91257702182.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> out <- histbackback(z, probability=par3, main = main, ylab = ylab)
> barplot(-out$left, col=par1, horiz=TRUE, space=0, add=TRUE, axes=FALSE)
> barplot(out$right, col=par2, horiz=TRUE, space=0, add=TRUE, axes=FALSE)
> dev.off()
null device 
          1 
> 
> system("convert tmp/13gb91257702182.ps tmp/13gb91257702182.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.989   0.215   1.056