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Data:
103.43 103.49 103.5 103.5 103.5 103.5 103.54 103.71 103.76 103.76 103.76 103.82 105.11 105.58 105.91 105.92 105.92 105.92 105.96 105.98 105.98 105.98 106.01 106.01 106.91 107.11 107.18 107.2 107.35 107.35 107.35 107.52 107.56 107.55 107.6 107.6 110.04 110.27 110.33 110.33 110.33 110.33 110.33 110.35 110.38 110.54 110.54 110.54 110.54 106.74 106.78 106.75 106.75 106.75 106.82 107.08 107.25 107.28 107.28 107.28 108.44 109.33 109.44 109.44 109.45 109.45 109.45 109.45 109.46 109.46 109.46 109.46 110.95 110.95 110.95 110.95 110.95 110.95 110.95 110.95 110.97 110.97 110.97 111
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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
1 seconds
R Server
Big Analytics Cloud Computing Center
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