R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(87.3,97.6,107.1,96.1,109.5,105.0,83.9,89.2,107.0,113.6,108.1,91.9,104.9,99.2,104.3,104.0,101.5,105.4,88.7,83.6,98.0,108.9,92.8,82.0,101.3,106.3,94.0,102.8,102.0,105.1,92.4,81.4,105.8,120.3,100.7,88.8,94.3,99.9,103.4,103.3,98.8,104.2,91.2,74.7,108.5,114.5,96.9,89.6,97.1,100.3,122.6,115.4,109.0,129.1,102.8,96.2,127.7,128.9,126.5,119.8,113.2,114.1,134.1,130.0,121.8,132.1,105.3,103.0,117.1,126.3,138.1,119.5,138.0,135.5,178.6,162.2,176.9,204.9,132.2,142.5,164.3,174.9,175.4,143.0,158.7,155.4,176.6,163.3,178.9,182.7)
> par3 = '0.01'
> par2 = '0.975'
> par1 = '0.025'
> ylab = 'value'
> xlab = 'quantile'
> main = 'Harrell-Davis Totale industrie'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa, (2007), Harrell-Davis Quantile Estimator (v1.0.11) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_harrell_davies.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: #Hmisc library
> #v 1.0.2, 1 sept. 2006: fixed buffer overflow in R interpreter (thanks to John J. Ely, Ph.D.)
> par1 <- as(par1,'numeric')
> par2 <- as(par2,'numeric')
> par3 <- as(par3,'numeric')
> library(Hmisc)

Attaching package: 'Hmisc'


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

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

> myseq <- seq(par1, par2, par3)
> hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
> postscript(file="/var/www/html/rcomp/tmp/1407g1199634867.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> load(file='/var/www/html/rcomp/createtable')
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'quantiles',header=TRUE)
> a<-table.element(a,'value',header=TRUE)
> a<-table.element(a,'standard error',header=TRUE)
> a<-table.row.end(a)
> length(hd)
[1] 96
> for (i in 1:length(hd))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
+ a<-table.element(a,as.matrix(hd[i])[1,1])
+ a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2bl1j1199634867.tab") 
> 
> system("convert tmp/1407g1199634867.ps tmp/1407g1199634867.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.350   0.220   1.447