R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows" Copyright (C) 2012 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i686-pc-linux-gnu (32-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(102.89,102.64,103.33,103.56,103.6,104.24,105.31,105.4,105.89,105.89,105.54,106.15,106.14,105.85,106.27,106.51,106.82,106.53,107.14,107.39,107.33,107.53,107.42,108.25,108.26,108.93,109.43,109.61,109.74,110.12,110.16,110.44,111.23,112.86,112.77,113.04,112.79,113.87,114.28,115.51,116.76,116.91,116.47,116.94,117.24,116.82,117.48,117.11,117.31,117.77,118.37,117.91,118.12,118.02,117.77,117.85,118.68,118.9,118.6,118.21,118.37,117.43,117.5,116.71,116.98,117.74,117.44,117.85,118.54,118.73,118.68,118.19) > #'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/fisher/rcomp/tmp/1rpt21350421083.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=11.111111111111,height=8.3333333333333) > 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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/fisher/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/fisher/rcomp/tmp/20gla1350421083.tab") > > try(system("convert tmp/1rpt21350421083.ps tmp/1rpt21350421083.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.287 0.182 1.450