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Data:
126.81 125.8 123.07 119.52 118.03 117.27 117.27 116.69 115.38 114.31 113.33 111.79 111.79 110.92 109.37 107.04 104.72 104.14 104.14 102.95 102.13 101.01 100.07 99.4 99.4 99.34 97.72 96.26 95.77 95.04 95.04 94.55 94 93.14 91.21 90.3 90.3 89.74 89.07 89.06 88.97 88.78 88.78 88.23 87.91 87.79 87.89 88 88 87.08 85.75 84.29 84.39 83.72 83.72 81.76 81.53 80.55 79.83 78.98 78.98 78.27 77.41 76.75 76.38 74.96 74.96 74.46 74.04 73.22 72.97 72.91
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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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