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Data:
21.94 21.95 21.96 22.1 22.13 22.18 22.18 22.27 22.3 22.04 22.05 22.06 22.06 22.06 21.97 22.03 22.08 22.13 22.13 22.4 22.4 22.12 22.22 22.14 22.14 22.19 22.29 22.24 22.26 22.29 22.29 22.29 22.29 22.35 22.39 22.43 22.43 22.11 22.12 22.05 22.05 22.08 22.08 22.09 22.09 22.24 22.25 22.24 22.24 22.25 22.28 22.23 22.29 22.31 22.31 22.31 22.39 22.42 22.42 22.42 22.15 21.95 21.96 21.97 21.66 21.66 21.68 21.75 21.55 21.59 21.54 21.54
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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
2 seconds
R Server
Big Analytics Cloud Computing Center
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