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Data:
5.29 5.29 5.29 5.31 5.33 5.34 5.34 5.37 5.41 5.41 5.38 5.44 5.44 5.46 5.46 5.45 5.46 5.46 5.48 5.47 5.48 5.51 5.55 5.58 5.59 5.6 5.6 5.67 5.71 5.7 5.73 5.72 5.75 5.75 5.77 5.83 5.85 5.87 5.86 5.87 5.93 5.97 5.98 5.99 5.99 6.03 6.06 6.07 6.08 6.08 6.1 6.13 6.14 6.14 6.16 6.2 6.19 6.32 6.32 6.33 6.32 6.33 6.38 6.42 6.46 6.47 6.42 6.48 6.47 6.49 6.48 6.51 6.51 6.52 6.57 6.59 6.62 6.63 6.61 6.64
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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
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Big Analytics Cloud Computing Center
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