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Data:
100.64 100.93 101.41 102.07 102.42 102.53 102.43 102.6 102.65 102.74 102.82 103.2 102.75 103.09 103.71 104.3 104.58 104.71 104.44 104.57 104.95 105.49 106.03 106.48 106.25 106.7 107.6 108.05 108.72 109.17 109.08 109.04 109.34 109.37 108.96 108.77 108.11 108.67 109.05 109.43 109.62 109.85 109.34 109.65 109.69 109.91 110.09 110.44 109.9 110.25 111.26 111.74 111.91 111.95 111.63 111.85 112.16 112.49 112.66 113.39 112.92 113.44 114.68 115.38 115.48 115.41 114.92 115.16 115.89 116.25 116.43 116.83 116.17 116.78 117.98 118.53 118.43 118.29 117.85 118.27 119 119.33 119.17 119.57 118.62 119.09 120.19 120.17 120.29 120.35 119.88 120.04 120.52 120.43 120.34 120.75
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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
1 seconds
R Server
Big Analytics Cloud Computing Center
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