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Data:
-46 -33 -34 -25 -33 -18 -26 -21 -23 -24 -26 -32 -47 -45 -47 -43 -48 -48 -43 -44 -46 -36 -32 -18 -31 -37 -32 -29 -29 -40 -26 -29 -19 -30 -12 -24 -40 -43 -49 -49 -48 -33 -46 -46 -43 -44 -38 -38 -39 -47 -41 -36 -38 -11 -24 -30 -18 -21 -22 -15 -15 -16 -26 -39 -28 -25 -25 -13 -20 -13 -10 -19 -31 -36 -26 -33 -42 -44 -45 -42 -60 -42 -63 -71
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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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Big Analytics Cloud Computing Center
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