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Data:
3.9 5.9 5.7 3.6 4.9 5.3 8.7 6.8 8.9 9.6 11.2 9.9 9.3 9.2 9.4 12.7 13.6 16.1 14.8 14.1 13.2 8.7 4.9 -1.3 -3.9 -6 -6.6 -8.7 -11.6 -14.6 -12.9 -13.8 -14.1 -13.2 -10.4 -3.3 1 3.1 4.5 1.9 3.9 7 5.6 8.1 6.1 8 6.5 5.6 4.8 5.1 7.8 10.3 8.6 6.8 4.9 5.4 5.5 4.7 4.2 5 5 6 2.9 3.6 5.1 2.9 4.7 3 5 2.6 3.2 2.4 3.2 2.6 2.4 2.1 2.7 4.4 4.3 4.2 5.5 8.8 10.1 7 5.7 5.2 5.5 7.3 5.9 7.1 6.9 6.7 4.7 6.7 8.5 2.1 -0.9 -4.7 4.8 2.6 1.7 -1.8 0.2 1.9 3.2 3.1 4.2 16.2 18.3 21.6 12.6 9.8 10.6 13 9.7 7.9 3.3 3.4 0.4 0.7 1.4 3.8 4 8 6 5.8 3.9 6.4 11
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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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1 seconds
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