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(293544,282672,298980,239184,309852,304416,326160,337032,375084,326160,309852,385956,326160,244620,288108,217440,304416,250056,331596,298980,315288,353340,347904,413136,298980,250056,277236,201132,288108,222876,315288,298980,266364,380520,342468,391392,293544,271800,244620,201132,266364,239184,326160,315288,271800,364212,337032,434880,347904,212004,212004,212004,250056,250056,337032,309852,277236,347904,320724,462060,364212,212004,222876,184824,255492,293544,369648,364212,293544,342468,304416,434880,331596,266364,239184,179388,266364,320724,375084,353340,260928,375084,293544,451188,375084,271800,250056,168516,266364,255492,385956,385956,293544,380520,282672,440316,375084,277236,212004,146772,288108,277236,364212,418572,309852,347904,260928,451188)
> #'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/16em01377073528.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/2et3r1377073528.tab") 
> 
> try(system("convert tmp/16em01377073528.ps tmp/16em01377073528.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.427   0.237   1.642