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Data:
4.73 4.73 4.73 4.73 4.74 4.74 4.74 4.74 4.74 4.76 4.76 4.76 4.76 4.76 4.76 4.77 4.77 4.78 4.78 4.79 4.83 4.84 4.85 4.85 4.86 4.87 4.87 4.9 4.9 4.92 4.92 4.95 4.96 4.95 4.95 4.95 4.96 4.96 4.96 4.96 4.97 4.97 4.97 5.03 5.08 5.1 5.11 5.13 5.13 5.13 5.15 5.15 5.15 5.17 5.17 5.18 5.2 5.22 5.23 5.23 5.26 5.27 5.28 5.31 5.31 5.32 5.33 5.34 5.38 5.39 5.41 5.44 5.44 5.44 5.46 5.47 5.47 5.49 5.49 5.5 5.52 5.59 5.6 5.6
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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
1 seconds
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Big Analytics Cloud Computing Center
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