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Data:
38.95 38.96 38.93 38.86 38.75 38.87 38.87 38.86 38.83 39.08 39.05 38.97 38.97 38.95 38.95 38.92 38.96 38.97 38.97 38.95 38.93 38.76 38.81 38.81 38.81 38.78 38.77 38.61 38.69 38.69 38.68 38.74 38.73 38.62 38.57 38.57 38.57 38.57 38.56 38.55 38.42 38.47 38.47 38.48 38.45 38.43 38.43 38.48 38.48 38.48 38.51 38.48 38.55 38.55 38.55 38.49 38.37 38.14 38.08 38.04 38.04 38.03 37.98 38.03 38.05 38.05 38.05 38.05 38.02 38.06 38.01 38 38 38 37.99 37.96 37.96 38.02 38.02 38.02 38 37.93 38 38 38 38 38 38.01 37.98 38 38 38 37.95 37.87 37.75 37.75
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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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