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Data:
62.02 62.02 62.02 62.07 62.11 62.15 62.2 62.22 62.31 62.47 62.47 62.47 62.55 62.6 62.71 62.72 62.77 62.82 62.82 62.82 63.13 64.09 64.2 64.23 64.23 64.24 64.29 64.29 64.29 64.31 64.35 64.42 65.35 65.83 66.15 66.19 66.19 66.4 66.4 66.4 66.48 66.49 66.56 66.59 66.65 67.69 67.91 67.94 68 68.1 68.12 68.12 68.14 68.14 68.16 68.24 68.42 68.97 69.13 69.2
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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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