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Data:
70.3 90.2 107.3 104.6 102.7 124.5 117.8 104.2 99.9 91.5 95.7 91.4 86.2 91.5 115.5 113.9 131.9 121.2 105.2 107.5 113.8 100.5 104.8 103.8 93.1 106.2 117.5 109.9 123.6 139.3 111 122 110.9 108 103.7 107.3 92 83.4 110.7 109 121.3 121.4 129.9 109.7 113.1 109.4 101 109 92.8 91.1 114.5 118.6 120.2 135.9 122.8 106 118.1 108.9 97.3 113.9 88.3 88.3 114.6 118.8 111.9 130.1 124.3 112.2 110 105.8 105.1 106.7
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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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