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Data:
16.6 12.6 18.9 11.6 14.6 13.85 14.85 11.75 18.45 15.9 19.9 10.95 18.45 15.1 15 11.35 15.95 18.1 14.6 17.6 15.35 13.4 13.9 15.25 12.9 16.1 17.35 13.15 12.15 12.6 10.35 15.4 9.6 18.2 13.6 14.85 14.1 14.9 16.25 13.6 15.65 14.6 12.65 11.9 19.2 16.6 11.2 13.2 15.85 11.15 15.65 7.65 15.2 15.6 13.1 11.85 12.4 11.4 14.9 19.9 11.2 14.6 14.75 15.15 16.85 7.85 12.6 7.85 10.95 12.35 9.95 14.9 16.65 13.4 13.95 15.7 16.85 10.95 15.35 12.2 15.1 17.75 15.2 16.65 8.1 4.35 12.7 18.1 17.85 17.1 19.1 16.1 13.35 18.4 14.7 10.6 12.6 16.2 13.6 14.1 14.5 16.15 14.75 14.8 12.45 12.65 17.35 8.6 18.4 16.1 17.75 15.25 17.65 15.6 16.35 17.65 13.6 11.7 14.35 14.75 18.25 9.9 16 18.25 16.85 18.95 15.6 17.1 16.1 15.4 15.4 13.35 19.1 7.6 19.1 14.75 19.25 13.6 12.75 9.85 15.25 11.9 16.35 12.4 14.35 18.15 17.75 12.35 15.6 19.3 17.1 18.4 19.05 18.55 19.1 12.85 9.5 4.5 13.6 11.7 13.35 17.75 17.6 14.05 16.1 13.35 11.85 11.95 13.2 7.7 14.6
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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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Big Analytics Cloud Computing Center
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