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33 39 45 46 45 45 49 50 54 59 58 56 48 50 52 53 55 43 42 38 41 41 39 34 27 15 14 31 41 43 46 42 45 45 40 35 36 38 39 32 24 21 12 29 36 31 28 30 38 27 40 40 44 47 45 42 38 46 37 41 40 33 34 36 36 38 42 35 25 24 22 27 17 30 30 34 37 36 33 33 33 37 40 35 37 43 42 33 39 40 37 44 42 43 40 30 30 31 18 24 22 26 28 23 17 12 9 19 21 18 18 15 24 18 19 30 33 35 36 47 46
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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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