R version 2.13.0 (2011-04-13) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i486-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(1200,1400,1210,1260,1320,1320,1310,1260,1340,1180,1330,1390,1130,1340,1140,1290,1260,1280,1330,1270,1300,1150,1410,1250,1030,1320,1160,1300,1190,1310,1290,1320,1300,1230,1330,1220,1010,1290,1170,1240,1260,1260,1310,1360,1250,1170,1360,1140,1030,1260,1210,1190,1230,1350,1300,1340,1270,1220,1400,1120,1000,1260,1260,1150,1240,1360,1350,1280,1320,1210,1370,1060,1040,1260,1210,1200,1200,1290,1400,1280,1280,1220,1350,1000,980,1240,1190,1200,1150,1270,1410,1420,1260,1300,1410,1000,950,1280,1330,1190,1170,1270,1340,1470,1270,1280,1430,980) > #'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 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/14tyg1344786134.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/299w41344786134.tab") > > try(system("convert tmp/14tyg1344786134.ps tmp/14tyg1344786134.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.125 0.173 1.288