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Data:
44.13 44.13 44.14 44.14 44.14 44.14 44.15 44.17 44.19 44.26 44.27 44.29 44.29 44.29 44.29 44.32 44.33 44.34 44.34 44.34 44.37 44.47 44.51 44.51 44.51 44.52 44.7 44.84 44.9 44.91 44.94 44.94 44.95 45.28 45.34 45.34 45.34 45.36 45.44 45.62 45.75 45.77 45.77 45.77 46.09 46.25 46.28 46.29 46.29 46.29 46.3 46.34 46.34 46.35 46.42 46.52 46.59 46.66 46.67 46.72 46.72 46.72 46.76 46.89 47.02 47.02 47.04 47.18 47.22 47.8 47.88 47.91
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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
3 seconds
R Server
Big Analytics Cloud Computing Center
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