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Data:
28.53 28.48 28.68 28.89 29.2 29.21 29.15 29.22 29.34 29.13 28.84 28.76 28.75 28.89 28.82 29.12 29.21 29.3 29.32 29.52 29.64 29.54 29.54 29.34 29.34 29.54 29.94 30.17 30.23 30.34 30.34 30.36 30.3 30.28 29.89 29.58 29.68 29.73 30.07 30.32 30.55 30.62 30.67 30.79 30.8 30.5 30.07 29.41 29.42 29.99 30.14 30.41 30.78 30.88 30.92 30.93 31.62 31.48 31.3 31.11 31.16 31.22 31.66 32.11 32.27 32.36 32.42 32.52 32.41 31.87 31.04 30.58
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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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