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Data:
32.98 32.7 32.74 32.87 32.95 32.94 32.94 32.97 32.87 32.96 32.97 32.99 32.99 33.04 33.23 33.03 33.05 33.03 33.04 33.11 33.14 33.08 33.09 33.07 33.07 33.02 33 33.08 33.35 33.36 33.36 33.35 33.41 33.47 33.47 33.48 33.48 33.55 33.68 33.72 33.79 33.83 33.83 33.84 33.91 34.06 34.16 34.16 34.16 34.29 34.48 34.48 34.39 34.29 34.29 34.25 34.2 34.1 34.09 34.06 34.06 34.04 34.19 34.21 34.17 34.08 34.08 34.08 34.3 34.28 34.45 34.41
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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
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Big Analytics Cloud Computing Center
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