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Data:
90.4 89.5 88.9 88.4 87.6 87.1 86.5 85.7 85.3 84.9 84.5 84.4 84.3 84.2 84.1 83.8 83.5 83.2 82.8 82.2 81.5 80.8 80.3 79.8 79.2 78.8 78.1 77.8 77.3 76.7 76.2 76.1 76.3 76.2 76.2 76.6 75.5 75.4 75.5 75.5 75.2 74.9 74.6 74.4 74 73.3 72.7 72 71.2 70.9 70.4 70 69.7 69.2 68.7 68.6 68.4 67.9 67.4 66.5 65.6 64.6 63.8 63 62.1 61.7 61.4 61.1 61.1 61 60.5 60.2 59.9 59.4 59.6 59.5 59.3 59.3 59.1 58.8
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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
1 seconds
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Big Analytics Cloud Computing Center
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