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Data:
13.29 13.34 13.41 13.45 13.52 13.52 13.53 13.55 13.52 13.51 13.55 13.56 13.62 13.69 13.67 13.66 13.69 13.69 13.7 13.73 13.79 13.8 13.84 13.84 13.88 13.97 14.06 14.11 14.13 14.15 14.2 14.28 14.3 14.33 14.4 14.4 14.42 14.51 14.64 14.68 14.72 14.73 14.76 14.78 14.83 14.84 14.85 14.87 14.87 14.96 15.08 15.08 15.12 15.12 15.1 15.16 15.22 15.28 15.29 15.32 15.4 15.44 15.48 15.52 15.6 15.61 15.66 15.69 15.75 15.82 15.81 15.82
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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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