R version 3.3.3 (2017-03-06) -- "Another Canoe" Copyright (C) 2017 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(89.88,89.88,89.91,90.21,91.46,91.51,91.55,91.56,91.58,91.60,91.61,91.62,91.62,91.62,91.62,91.63,92.01,92.43,92.59,92.67,92.79,92.79,92.84,92.86,92.86,92.91,92.94,93.49,95.31,96.07,96.35,96.66,97.31,97.66,97.75,97.76,97.79,97.93,97.95,98.05,99.01,99.32,99.55,100.56,101.88,102.30,102.79,102.80,102.87,103.57,105.61,107.25,107.61,107.85,107.93,107.98,108.10,108.26,108.32,108.32,108.36,109.07,110.86,112.49,112.83,112.98,113.03,113.34,113.38,113.51,113.68,113.69) > #'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/1kcav1493383893.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/2sdd51493383893.tab") > > try(system("convert tmp/1kcav1493383893.ps tmp/1kcav1493383893.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.062 0.118 2.227