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Data:
2.08 2.09 2.36 2.99 2.75 1.58 1.69 1.3 1.97 1.84 1.96 1.86 2.75 2.62 2.41 3.61 2.03 1.45 1.4 1.3 1.58 2.1 2.27 2.54 2.55 2.05 2.32 2.6 2.1 1.61 1.55 1.12 1.39 2.18 1.94 2.27 2.41 2.2 2.58 2.9 2.12 1.34 1.07 0.86 1 1.54 1.29 1.44 2.6 2.77 3.31 3.2 2.07 1.42 1.43 1.28 1.59 1.68 2.01 2.52 2.74 3.06 2.69 2.32 1.67 1.04 0.98 0.86 0.97 1.3 1.82 1.99
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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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