R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(-0.0978339145409005,-0.061114984344326,-0.0346093482386506,-0.0192416848531983,-0.0423084780434488,0.922761802213626,-0.0579480403827707,0.11091600750011,1.14938260868304,0.163933298824692,-0.898036159496104,1.07519675583866,0.0880897236152704,-0.909086321425183,0.0896636455027791,-0.930564533713409,1.05384702751967,0.0230424193807341,0.0209175154204943,0.132184006131612,-0.839163087386618,-0.843015656408399,0.0824985068397358,1.02338935670594,-0.0416444545493731,-0.082250730037493,-0.132797645703873,-0.157137593340795,-0.16101317240676,0.805593138018239,0.81818376139633,-0.0273179264105021,-0.985587097700198,0.0281131587591395,-0.023854757619615,-0.0517582730630412,-0.0741218066337642,0.933956133102586,-0.0666187538781284,-0.075469878230393,-1.0612646597867,0.940460644783808,-1.04691226728023,0.0743705357178721,0.122437652291408,0.150153852791857)
> #'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(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/wessaorg/rcomp/tmp/1l6581355922663.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/233bl1355922663.tab") 
> 
> try(system("convert tmp/1l6581355922663.ps tmp/1l6581355922663.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.411   0.241   1.802