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Data:
5.06 5.05 5.05 5.04 5.06 5.07 5.09 5.08 5.09 5.09 5.09 5.1 5.12 5.14 5.14 5.14 5.13 5.15 5.16 5.17 5.17 5.18 5.21 5.19 5.22 5.24 5.21 5.24 5.28 5.3 5.32 5.32 5.29 5.3 5.32 5.31 5.35 5.36 5.33 5.35 5.35 5.35 5.37 5.39 5.4 5.39 5.4 5.4 5.4 5.38 5.32 5.36 5.35 5.39 5.4 5.41 5.36 5.38 5.41 5.35 5.4 5.41 5.42 5.41 5.41 5.42 5.4 5.42 5.41 5.34 5.46 5.45 5.47 5.48 5.43 5.5 5.51 5.51 5.52 5.55 5.55 5.48 5.61 5.59 5.68 5.71 5.68 5.7 5.76 5.78 5.77 5.85 5.82 5.84 5.89 5.84
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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
1 seconds
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Big Analytics Cloud Computing Center
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