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Data:
102.89 102.64 103.33 103.56 103.6 104.24 105.31 105.4 105.89 105.89 105.54 106.15 106.14 105.85 106.27 106.51 106.82 106.53 107.14 107.39 107.33 107.53 107.42 108.25 108.26 108.93 109.43 109.61 109.74 110.12 110.16 110.44 111.23 112.86 112.77 113.04 112.79 113.87 114.28 115.51 116.76 116.91 116.47 116.94 117.24 116.82 117.48 117.11 117.31 117.77 118.37 117.91 118.12 118.02 117.77 117.85 118.68 118.9 118.6 118.21 118.37 117.43 117.5 116.71 116.98 117.74 117.44 117.85 118.54 118.73 118.68 118.19
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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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