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Data:
27.01 33.56 47.24 71.23 59.14 40.99 17.54 28.45 39.09 24.69 21.47 39.81 35.66 31.21 30.63 26.11 29.63 44.55 43.9 33.47 55.10 48.13 33.25 25.33 26.98 88.74 36.54 11.78 29.11 32.47 55.17 42.33 22.87 41.36 27.69 20.47 60.03 50.14 30.63 36.99 27.55 18.55 14.33 8.78 40.55 22.63 45.77 41.36 39.44 41.66 66.47 69.48 17.66 19.64 44.47 50.17 21.63 36.12 23.69 54.12 45.16 69.41 41.96 13.25 16.17 9.66 20.45 24.21 33.64 25.44 60.74 71.33 55.21 66.23 19.65 21.33 14.47 16.22 23.56 66.87 54.22 43.98 71.33 55.21 66.23 19.65 21.33 16.66 19.87 14.55 19.41 20.63 60.03 50.14 30.63 36.99 27.55 18.55 14.33 66.47 69.48 17.66 19.64 44.47 50.17 21.63 36.12 23.69 33.25 25.33 26.98 88.74 36.54 11.78 18.55 14.33 8.78 40.55 22.63 45.77
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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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