R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(85,82,92.4,100.3,105.2,104.5,105.1,105,106.5,106,99.4,107.4,89.6,85.3,96.3,107.7,112.7,110.1,110.4,111.6,113.3,109,106.5,113,95.6,93.8,106.4,116.6,119.1,120.9,117.3,117.6,115.3,112.3,107.7,113.4,94.3,97.8,106.6,113,122.4,114.6,115,118.7,110.4,111.6,105.1,107.5,92.9,91,100.2,112.2,116.5,111.2,113.3,112.2,102.2,105.3,96,101.3,86.2,84.4,93.4,104.8,106.2,101.9,105.5,106.4,103.9,108.6,96.4,102.2,90.3,88.5,100.2,111.6,111.5,112.9,110.7,105.5,110.7,108.9,101.3,109.6,94.4,91.4,105.8,112.9,116.1,113.7,112.9,110.7,114.3,109.7,105.7,114)
> #'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 objects are masked from 'package:survival':

    survfitKM, untangle.specials

The following objects are masked from 'package:base':

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

> m <- mean(x)
> e <- median(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1agi81392914663.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/2bupk1392914663.tab") 
> 
> try(system("convert tmp/1agi81392914663.ps tmp/1agi81392914663.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.465   0.216   1.674