R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(255,280.2,299.9,339.2,374.2,393.5,389.2,381.7,375.2,369,357.4,352.1,346.5,342.9,340.3,328.3,322.9,314.3,308.9,294,285.6,281.2,280.3,278.8,274.5,270.4,263.4,259.9,258,262.7,284.7,311.3,322.1,327,331.3,333.3,321.4,327,320,314.7,316.7,314.4,321.3,318.2,307.2,301.3,287.5,277.7,274.4,258.8,253.3,251,248.4,249.5,246.1,244.5,243.6,244,240.8,249.8,248,259.4,260.5,260.8,261.3,259.5,256.6,257.9,256.5,254.2,253.3,253.8,255.5,257.1,257.3,253.2,252.8,252,250.7,252.2,250,251,253.4,251.2,255.6,261.1,258.9,259.9,261.2,264.7,267.1,266.4,267.7,268.6,267.5,268.5,268.5,270.5,270.9,270.1,269.3,269.8,270.1,264.9,263.7,264.8,263.7,255.9,276.2,360.1,380.5,373.7,369.8,366.6,359.3,345.8,326.2,324.5,328.1,327.5,324.4,316.5,310.9,301.5,291.7,290.4,287.4,277.7,281.6,288,276,272.9,283,283.3,276.8,284.5,282.7,281.2,287.4,283.1,284,285.5,289.2,292.5,296.4,305.2,303.9,311.5,316.3)
> #'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!)
> library(Hmisc)
Loading required package: survival
Loading required package: splines

Attaching package: 'Hmisc'

The following object(s) are masked from 'package:survival':

    untangle.specials

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

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

> m <- mean(x)
> e <- median(x)
> postscript(file="/var/www/rcomp/tmp/16sx01321541631.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow=c(2,1))
> mydensity1 <- density(x,kernel='gaussian',na.rm=TRUE)
> plot(mydensity1,main='Density Plot - Gaussian Kernel',xlab='Median (0 -> full line) | Mean (0 -> dashed line)',ylab='density')
> abline(v=e,lty=1)
> abline(v=m,lty=5)
> grid()
> myseq <- seq(0.01, 0.99, 0.01)
> hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
> plot(myseq,hd,col=2,main='Harrell-Davis Quantiles',xlab='quantiles',ylab='Median (0 -> full) | Mean (0 -> dashed)')
> abline(h=m,lty=5)
> abline(h=e,lty=1)
> grid()
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Median versus Mean',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,mean(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'median',header=TRUE)
> a<-table.element(a,median(x))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/2jwzp1321541631.tab") 
> 
> try(system("convert tmp/16sx01321541631.ps tmp/16sx01321541631.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.240   0.110   1.324