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Data:
68.64 68.61 68.61 68.61 68.58 68.75 68.54 68.5 68.47 68.47 68.47 68.59 68.32 67.86 67.91 67.91 68.05 68.15 68.25 68.25 68.31 68.31 69.65 69.65 70.18 70.08 70.08 70.09 70.04 70.14 70.26 70.23 70.54 70.54 70.57 70.61 70.63 70.45 70.4 70.4 70.33 70.51 70.45 70.39 70.59 70.59 70.32 70.94 70.44 70.57 70.61 70.61 70.68 69.96 70.11 70.22 70.49 70.49 70.58 70.85 70.69 70.7 70.7 70.7 70.67 70.64 70.98 70.75 70.88 70.88 70.92 70.89 71.02 71.01 71.02
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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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