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(25.7,24.7,24.2,23.6,24.4,22.5,19.4,18.1,18.1,20.7,19.1,18.3,16.9,17.9,20.2,21.2,23.8,24,26.6,25.3,27.6,24.7,26.6,24.4,24.6,26,24.8,24,22.7,23,24.1,24,22.7,22.6,23.1,24.4,23,22,21.3,21.5,21.3,23.2,21.8,23.3,21,22.4,20.4,19.9,21.3,18.9,15.6,12.5,7.8,5.5,4,3.3,3.7,3.1,5,6.3)
> x <- c(23,19,18,19,19,22,23,20,14,14,14,15,11,17,16,20,24,23,20,21,19,23,23,23,23,27,26,17,24,26,24,27,27,26,24,23,23,24,17,21,19,22,22,18,16,14,12,14,16,8,3,0,5,1,1,3,6,7,8,14)
> par5 = 'Industriële productie'
> par4 = 'Indicator Consumentenvertrouwen'
> par3 = 'TRUE'
> par2 = 'red'
> 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/160rc1257957178.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/160rc1257957178.ps tmp/160rc1257957178.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.001   0.221   1.053