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Data:
104.37 104.66 104.88 105.08 104.53 104.97 105.73 106.11 106.16 106.53 107.23 107.56 106.46 107.42 107.84 108.65 107.58 107.67 107.09 106.96 107.63 108.03 107.33 107.16 106.28 107.26 106.48 106.82 106.9 106.6 106.79 107.19 106.34 106.91 106.55 106.73 106.36 107.07 106.96 107.82 108.07 108.11 108.16 108.29 108.5 108.69 109.12 108.82 108.07 109.92 109.24 109.9 109.7 110.15 109.73 109.62 110.42 110.69 110.75 111.41 110.56 110.88 111.35 110.31 111.63 111.24 111.66 111.44 110.72 111.19 110.07 110.86 110.46 111 111.11 111.9 111.38 111.69 111.65 111.98 111.63 112.57 112.38 111.73
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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 Input
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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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