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Data:
6 6.7 -0.6 5.8 16.4 1.5 5.1 14.7 4.3 1.5 9.1 4.3 5.7 13 14.5 9.7 -4.7 7.3 5.2 -2.5 11.5 4.9 -2.4 -0.3 4.4 7.9 -9.7 -4.1 16.4 -4.9 3.5 3.8 -0.2 3.1 0.7 -2.8 5.9 -5.3 -2.9 6.6 -8.1 1.3 6.9 -7.2 -1.9 4 -5.7 3.9 -7.6 -0.9 7.3 -3.7 -2.5 9.3 1.3 9.5 11.3 -1.7 8 -4.8 1.6 1.9 -0.9 5.5 1.7 -5.4 1.9 0.2 -13.3 -8.2 0.2 5.7 -1.2 -2.8 5.5 -17.3 1.4 -2.2 -8.6 -5 4.1 0.7 -4.2 -2.3 -3.4 -4.2 -14.2 1.6 -4.9 -1.8 -0.5 -2.3 -5.3 -0.2 5.1 -1.5
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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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