R version 3.2.2 (2015-08-14) -- "Fire Safety"
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> x <- c(2754542000,2899512000,2928886000,3011252000,2932895000,3069307000,2863923000,2585491000,2993900000,3023542000,2491370000,2341705000,2126472000,2196705000,2368313000,2285174000,2163877000,2299241000,2275643000,2163091000,2416149000,2434553000,2281937000,2440464000,2255745000,2389872000,2863148000,2623516000,2558136000,2898129000,2537720000,2543469000,2779739000,2884779000,2711624000,2817771000,2884477000,3058996000,3285298000,2879617000,3220416000,3144280000,2940811000,2986507000,3153720000,2995806000,2990242000,2879837000,2848699000,3138385000,3532447000,3121872000,3309250000,3215022000,2966778000,3010284000,3083824000,3257727000,3180374000,3036414000,2966714000,3067677000,3339789000,3299861000,3193328000,3181266000,3193356000,2898282000,2929524000,3217311000,3126249000,3131083000,3008058000,2868318000,3207495000,3109336000,3070725000,2989963000,3287552000,2835238000,3368961000,3291689000,3008536000,2974109000)
> #'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: grid
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2

Attaching package: 'Hmisc'

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/15m3a1444490871.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/2ovjv1444490871.tab") 
> 
> try(system("convert tmp/15m3a1444490871.ps tmp/15m3a1444490871.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.136   0.116   1.246