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Data:
14.69 20.15 11.78 21.47 17.54 21.47 18.55 14.33 8.78 17.66 19.64 13.25 16.17 9.66 20.45 24.21 19.65 21.33 14.47 16.22 16.66 19.87 14.55 19.41 20.63 9.12 8.36 19.36 25.78 14.66 27.55 22.63 30.33 22.22 11.99 9.47 10.33 15.36 14.99 17.31 18.94 16.54 18.21 11.74 17.41 9.99 21.14 19.70 14.87 19.65 27.65 13.45 20.00 13.47 18.54 20.00 11.47 28.65 24.14 19.87 17.65 13.69 15.47 11.63 10.24 13.54 11.00 19.74 21.25 29.54 11.41 10.87 8.47 12.69 10.14 18.63 22.54 17.65 16.41 17.65 19.87 21.45 22.65 20.69 23.74 20.96 18.35 17.84 20.54 21.63 27.61 19.47 23.52 25.64 19.33 20.64 18.98 15.67 23.74 22.89 24.66 29.40 19.87 17.55 15.94 21.74 23.51 24.84 18.47 21.01 16.74 27.45 19.54 17.74 21.65 24.74 26.89 23.22 20.16 21.88
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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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Computing time
1 seconds
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Big Analytics Cloud Computing Center
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