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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> x <- c(1160.9
+ ,1470.1
+ ,1653
+ ,1390
+ ,1550.7
+ ,1852.1
+ ,1797.9
+ ,1256.4
+ ,1835.5
+ ,1793.2
+ ,1874.8
+ ,1948.6
+ ,1819.9
+ ,1823.6
+ ,2042.7
+ ,1705.9
+ ,1876.8
+ ,1919.5
+ ,1803.4
+ ,1380.4
+ ,1812.1
+ ,1856.4
+ ,1934.3
+ ,1977.5
+ ,1813.7
+ ,1937.1
+ ,2178.7
+ ,1699.9
+ ,1943.8
+ ,2151
+ ,1927.7
+ ,1418.2
+ ,1899.8
+ ,1974.9
+ ,1918.7
+ ,1818.3
+ ,1751
+ ,1888
+ ,1947.7
+ ,1818.1
+ ,2110.8
+ ,2009
+ ,2124.2
+ ,1542.5
+ ,2044.1
+ ,2324.3
+ ,2055.6
+ ,2137.9
+ ,2140.7
+ ,2301.5
+ ,2412.6
+ ,2477
+ ,2311.8
+ ,2326.6
+ ,2745.3
+ ,1937.2
+ ,2668.7
+ ,2636.1
+ ,2327.6
+ ,2584.6
+ ,2282.8
+ ,2337
+ ,2499.3
+ ,2389.6
+ ,2327.1
+ ,2556.6
+ ,2580
+ ,1831.4
+ ,2382.1
+ ,2237.9
+ ,2117.7
+ ,2240.9
+ ,1946.1
+ ,2149.6
+ ,2690
+ ,2171.1
+ ,2358.6
+ ,2841.4
+ ,3064.6
+ ,2037.3
+ ,2799.9
+ ,2852.3
+ ,2541.2
+ ,2910
+ ,2694.6
+ ,3081.7
+ ,3648.2
+ ,2823.3
+ ,3670.1
+ ,3027.6
+ ,3578.5
+ ,2655.1
+ ,3835.3
+ ,3766
+ ,3716
+ ,3531.7
+ ,3194
+ ,3442.2
+ ,3610
+ ,3105.5
+ ,3428.4
+ ,3489.7
+ ,3679
+ ,2596.1
+ ,3110.7
+ ,3401.7
+ ,3431.8
+ ,3383.1
+ ,3797.5
+ ,3860.5
+ ,4054.1
+ ,4044.9
+ ,4402.4
+ ,4046.4
+ ,4329.7
+ ,3204.2
+ ,4037.2
+ ,4678.4
+ ,4174.6
+ ,4151.4
+ ,3874.7
+ ,3568
+ ,3431
+ ,3733.2
+ ,3278.3
+ ,3583.7
+ ,4060.3
+ ,2979
+ ,4078.4
+ ,4002.1
+ ,3542.4
+ ,3928.2
+ ,3626
+ ,3998.4
+ ,4413.5
+ ,3853.1
+ ,3920.5
+ ,4616.2
+ ,4332.7
+ ,3362.7
+ ,3855.4
+ ,4087.1
+ ,3860.2
+ ,4018.1
+ ,3627.7
+ ,3996
+ ,4420.7
+ ,4386.5
+ ,4631.8
+ ,4875.3
+ ,4549.3
+ ,3933
+ ,4963.3
+ ,4419.7
+ ,4646.7
+ ,5000.2
+ ,4302.2
+ ,4432.1
+ ,5125.5
+ ,4299.9
+ ,5145.6
+ ,4537.8
+ ,4880.9
+ ,4136.9
+ ,4668.8
+ ,4818.5
+ ,4933.9
+ ,4524.4
+ ,4676.1
+ ,4911
+ ,5745
+ ,4483.7
+ ,4772.7
+ ,5021.4
+ ,5535.6
+ ,4736
+ ,5001.7
+ ,5486.3
+ ,4958.5
+ ,4756.4
+ ,4763.3
+ ,4951.2
+ ,4692.8
+ ,5301.2
+ ,4929.7
+ ,5223.3
+ ,5708.3
+ ,4018)
> par3 = '0.005'
> par2 = '0.99'
> par1 = '0.01'
> ylab = 'value'
> xlab = 'quantile'
> main = 'Harrell-Davis Quantiles'
> #'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/11ivp1228396157.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 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> 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] 197
> 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/243qk1228396157.tab") 
> 
> system("convert tmp/11ivp1228396157.ps tmp/11ivp1228396157.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.618   0.211   1.789