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Data:
84.9 81.9 95.9 81 89.2 102.5 89.8 88.8 83.2 90.2 100.4 187.1 87.6 85.4 86.1 86.7 89.1 103.7 86.9 85.2 80.8 91.2 102.8 182.5 80.9 83.1 88.3 86.6 93 105.3 93.8 86.4 87 96.7 100.5 196.7 86.8 88.2 93.8 85 90.4 115.9 94.9 87.7 91.7 95.9 106.8 204.5 90.2 90.5 93.2 97.8 99.4 120 108.2 98.5 104.3 102.9 111.1 188.1 93.8 94.5 112.4 102.5 115.8 136.5 122.1 110.6 116.4 112.6 121.5 199.3
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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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