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Data:
3.96 3.97 3.96 3.95 3.94 3.94 3.95 3.93 3.94 3.92 3.95 3.94 3.95 3.92 3.92 3.92 3.92 3.9 3.92 3.94 3.96 3.95 3.96 3.97 3.99 4 4.05 4.08 4.09 4.12 4.14 4.15 4.15 4.15 4.15 4.2 4.22 4.22 4.22 4.23 4.3 4.29 4.32 4.31 4.35 4.34 4.35 4.38 4.39 4.38 4.34 4.33 4.33 4.33 4.33 4.32 4.35 4.35 4.35 4.36 4.38 4.41 4.43 4.42 4.43 4.43 4.42 4.46 4.44 4.41 4.41 4.46 4.5 4.58 4.61 4.65 4.55 4.63 4.69 4.72 4.71 4.74 4.77 4.78
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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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Raw Output
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Computing time
2 seconds
R Server
Big Analytics Cloud Computing Center
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