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Data:
99.23 101.14 100.8 98.93 100.97 101.69 102.14 102.52 103.4 105.83 104.35 106.61 105.63 106.73 106.19 107.26 106.27 107.45 107.63 107.45 107.74 108.15 108.99 108.83 110.78 110.66 108.51 108.29 109.33 107.06 108.02 109.43 109.85 110.5 109.9 110.92 108.36 109.01 108.03 106.28 106.6 108.06 107.42 107.58 107.59 109.66 107.85 110.74 108.8 109.18 108.38 108.59 109.52 108.71 109.78 109.77 109.34 111.86 110.74 110.67 111.36 112.21 110.2 110.99 110.43 110.72 111.19 111.52 111.99 111.65 114.45 115.58
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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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