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Data:
4.2 0.5 4.6 5.2 2.7 4.2 1.8 1.7 3.8 0 3.9 3.5 1 1.7 7.8 4.9 3.8 0 7.7 0 7.7 0 10.1 1.7 0 8.6 3.9 4.2 1.7 0 7 1.8 8.4 3.4 7 3.9 2.7 7.7 1.7 1.7 11 1.8 2.1 0.7 1.7 10.5 6.2 1.8 1.7 7 3.5 3.8 0.5 1.8 8.4 7.7 1.7 4.9 0 1.8 6.3 5.2 1 1 0 5.6 5.6 3.8 3.5 6.3 0 5.9 1.7 3.5 1.8 0 8.4 5.1 7 3.4 4.2 0 1.4 3.9 6.3 7 2.1 4.5 0 3.5 8.1 4.2 0 1.7 5.3 1.8 0 13.6 9.4 0 2.1 1.7 2.1 0 3.5 1.8 0 8 0 2.1 3.9 1 7.7 2.1 1.7 0 1 6 0 1.8 3.5 4.2 7.6 1 1.8 2.1 1 1.7 8.4 10.8 1.8 2.1 0 0.7 5.6 6 1.7 1.8 5.2 6.3 0 3.4 1 1 5.6 8.3 2.6 2.1 0 3.5 8.3 7 3.4 1 4.2
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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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2 seconds
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Big Analytics Cloud Computing Center
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