R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(5947968.00
+ ,5925816.00
+ ,5903352.00
+ ,5856864.00
+ ,6316752.00
+ ,6292416.00
+ ,5947968.00
+ ,5718960.00
+ ,5741112.00
+ ,5741112.00
+ ,5765760.00
+ ,5810064.00
+ ,5879016.00
+ ,5879016.00
+ ,5834712.00
+ ,5718960.00
+ ,6316752.00
+ ,6407856.00
+ ,6270264.00
+ ,5947968.00
+ ,6085872.00
+ ,5879016.00
+ ,5972304.00
+ ,6016920.00
+ ,6063408.00
+ ,5947968.00
+ ,5972304.00
+ ,5810064.00
+ ,6316752.00
+ ,6476808.00
+ ,6339216.00
+ ,6085872.00
+ ,6361368.00
+ ,6063408.00
+ ,6339216.00
+ ,6316752.00
+ ,6385704.00
+ ,6132360.00
+ ,6407856.00
+ ,6385704.00
+ ,6799104.00
+ ,6705816.00
+ ,6339216.00
+ ,6154512.00
+ ,6407856.00
+ ,6063408.00
+ ,6316752.00
+ ,6361368.00
+ ,6454656.00
+ ,6248112.00
+ ,6361368.00
+ ,6430320.00
+ ,6683664.00
+ ,6476808.00
+ ,6201312.00
+ ,5903352.00
+ ,6179160.00
+ ,5421000.00
+ ,5787912.00
+ ,5994456.00
+ ,6201312.00
+ ,5903352.00
+ ,5903352.00
+ ,5903352.00
+ ,6063408.00
+ ,5834712.00
+ ,5534568.00
+ ,5283408.00
+ ,5465616.00
+ ,4754256.00
+ ,5190120.00
+ ,5443464.00
+ ,5489952.00
+ ,5236608.00
+ ,5258760.00
+ ,5190120.00
+ ,5421000.00
+ ,5258760.00
+ ,4938960.00
+ ,4707768.00
+ ,5098704.00
+ ,4249752.00
+ ,4801056.00
+ ,5052216.00
+ ,5052216.00
+ ,4754256.00
+ ,4478760.00
+ ,4456608.00
+ ,4707768.00
+ ,4478760.00
+ ,4043208.00
+ ,3743064.00
+ ,4065360.00
+ ,3307512.00
+ ,3996408.00
+ ,4363008.00
+ ,4478760.00
+ ,4225416.00
+ ,3905304.00
+ ,4134312.00
+ ,4225416.00
+ ,4156464.00
+ ,3467256.00
+ ,3147456.00
+ ,3376152.00
+ ,2687256.00
+ ,3398616.00
+ ,3651960.00
+ ,3858504.00
+ ,3514056.00
+ ,3191760.00
+ ,3376152.00
+ ,3467256.00
+ ,3285048.00
+ ,2596152.00
+ ,2296008.00
+ ,2571504.00
+ ,1813656.00
+ ,2640456.00
+ ,3147456.00)
> par3 = '0.01'
> par2 = '0.99'
> par1 = '0.01'
> ylab = 'omzet automatten'
> xlab = 'Percentielen'
> main = 'Harrell-Davis Percentielen'
> par3 <- '0.01'
> par2 <- '0.99'
> par1 <- '0.01'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa, (2012), Harrell-Davis Quantile Estimator (v1.0.13) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_harrell_davis.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par1 <- as(par1,'numeric')
> par2 <- as(par2,'numeric')
> par3 <- as(par3,'numeric')
> library(Hmisc)
Loading required package: grid
Loading required package: lattice
Loading required package: survival
Loading required package: splines
Loading required package: Formula

Attaching package: 'Hmisc'

The following objects 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/wessaorg/rcomp/tmp/14hig1438772561.ps",horizontal=F,onefile=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 
> 
> #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,'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] 99
> 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/wessaorg/rcomp/tmp/201pe1438772561.tab") 
> 
> try(system("convert tmp/14hig1438772561.ps tmp/14hig1438772561.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.972   0.122   1.091