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Data:
134.93 134.37 132.98 130.1 128.24 127.52 126.94 127.38 130.95 128.65 127.37 127.04 125.95 124.06 121.55 119.82 119.19 118.77 118.31 119.47 119.79 117.46 115.74 114.97 112.83 111.44 110.6 109.67 107.96 107.56 116.12 114.38 113.96 113.95 114.99 113.64 112.53 110.59 110.1 109.38 110.43 114.67 114.48 114.76 113.27 111.56 109.89 108.04 107.53 106.11 104.11 103 104.74 104.14 101.98 100.91 100.02 98.49 97.38 95.86 93.99 94.09 93.44 93.61 98.31 103.97 104.12 107.63 105.22 104.59 101.54 99.47
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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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