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Data:
11.54 25.47 34.78 29.21 43.9 33.47 55.10 48.13 33.25 25.33 26.98 88.74 36.54 11.78 29.11 32.47 36.99 27.55 18.55 14.33 8.78 40.55 22.63 20.47 60.03 50.14 30.63 36.99 27.55 18.55 14.33 21.63 36.12 23.69 54.12 45.16 69.41 41.96 13.25 26.98 88.74 36.54 11.78 29.11 32.47 55.17 17.66 19.64 44.47 50.17 21.63 36.12 23.69 33.25 25.33 26.98 14.33 8.78 17.66 19.64 13.25 16.17 9.66 20.45 24.21 19.65 21.25 33.64 25.44 60.74 71.33 55.21 66.23 19.65 23.52 25.64 19.33 20.64 18.98 15.67 20.00 11.47 28.65 24.14 19.87 17.65 30.54 28.57 29.65 31.22 32.00 19.64 41.88 45.98 34.12 30.88 25.96 20.33 26.98 27.12 21.66 27.96 28.63 29.10 34.25 39.77 41.23 14.10 19.54 8.78 24.55 34.87 31.47 21.65 19.77 9.23 7.55 22.44 16.89 47.55
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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
2 seconds
R Server
Big Analytics Cloud Computing Center
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