R version 3.0.1 (2013-05-16) -- "Good Sport"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(10320,11400,9360,10080,10080,10800,10320,9720,10440,11160,9480,11160,9840,11160,8760,10320,9600,10680,10200,10680,10200,12480,8880,11280,9480,11040,9240,9360,9240,10680,10680,10320,9960,12240,8880,11280,9360,10320,9840,9120,9360,10800,9840,11760,9960,11160,9240,11520,9000,10200,10200,9840,8760,11520,9120,11280,10560,10680,9960,10200,10200,10320,9600,10080,9120,10920,7800,11880,9360,10920,9840,9360,10680,9720,9960,10680,9120,10320,8040,11280,8880,11040,9600,9600,11040,9720,9480,10200,9360,10800,8520,11520,9120,11040,8880,9600,10440,8880,8520,10800,8880,10560,8400,12480,10560,10800,9840,8880)
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Mean versus Median (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_meanversusmedian.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> library(Hmisc)
Loading required package: survival
Loading required package: splines
Hmisc library by Frank E Harrell Jr

Type library(help='Hmisc'), ?Overview, or ?Hmisc.Overview')
to see overall documentation.

NOTE:Hmisc no longer redefines [.factor to drop unused levels when
subsetting.  To get the old behavior of Hmisc type dropUnusedLevels().


Attaching package: 'Hmisc'

The following object is masked from 'package:survival':

    untangle.specials

The following object is masked from 'package:base':

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

> m <- mean(x)
> e <- median(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1r5kf1376488335.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/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,'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/wessaorg/rcomp/tmp/2lceq1376488335.tab") 
> 
> try(system("convert tmp/1r5kf1376488335.ps tmp/1r5kf1376488335.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.883   0.271   2.124