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Data:
6.25 6.23 6.23 6.24 6.28 6.3 6.34 6.27 6.22 6.31 6.33 6.31 6.35 6.33 6.36 6.37 6.33 6.34 6.42 6.42 6.48 6.47 6.5 6.52 6.49 6.51 6.52 6.54 6.59 6.6 6.59 6.58 6.55 6.57 6.61 6.61 6.64 6.59 6.67 6.58 6.66 6.7 6.65 6.65 6.73 6.74 6.74 6.71 6.78 6.83 6.8 6.84 6.81 6.75 6.8 6.84 6.8 6.84 6.79 6.8 6.68 6.82 6.85 6.85 6.85 6.92 6.91 6.94 6.99 7.05 6.98 6.91
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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
2 seconds
R Server
Big Analytics Cloud Computing Center
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