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Data:
4 4 6 8 8 4 4 8 5 4 4 4 4 4 4 8 4 4 4 8 4 7 4 4 5 4 4 4 4 4 4 4 15 10 4 8 4 4 4 4 7 4 6 5 4 16 5 12 6 9 9 4 5 4 4 5 4 4 4 5 4 6 4 4 18 4 6 4 4 5 4 4 5 10 5 8 8 5 4 4 4 5 4 4 8 4 5 14 8 8 4 4 6 4 7 7 4 6 4 7 4 4 8 4 4 10 8 6 4 4 4 5 4 6 4 5 7 8 5 8 10 8 5 12 4 5 4 6 4 4 7 7 10 4 5 8 11 7 4 8 6 7 5 4 8 4 8 6 4 9 5 6 4 4 4 5 6 16 6 6 4 4
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R Code
library(Hmisc) m <- mean(x) e <- median(x) bitmap(file='test1.png') 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() load(file='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='mytable.tab')
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