R version 3.3.1 (2016-06-21) -- "Bug in Your Hair" Copyright (C) 2016 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-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(154,170,170,156,178,174,160,166,175,171,161,188,158,170,165,163,180,170,166,178,189,160,164,183,160,171,174,174,183,176,154,158,199,156,175,181,153,161,175,175,183,181,159,158,194,154,173,186,148,149,175,173,189,175,161,150,200,153,173,181,158,141,174,173,196,165,151,149,198,144,166,178,158,130,181,170,188,155,158,153,210,151,169,185,159,130,181,164,189,145,161,154,210,149,164,185,165,131,173,165,185,144,156,158,210,144,164,184) > #'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/15c7h1470833980.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/2x2zr1470833980.tab") > > try(system("convert tmp/15c7h1470833980.ps tmp/15c7h1470833980.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.025 0.099 1.129