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Data:
65.05 65.84 66.6 67.55 68.07 69.06 69.06 69.11 69.29 69.38 69.28 69.75 69.9 70.21 70.48 71.55 72.18 72.64 72.77 72.74 73.13 73.44 73.34 73.34 73.81 74.26 74.72 75.11 75.26 75.89 75.91 76.43 76.56 76.76 76.76 76.56 76.82 77.09 77.51 77.76 77.86 77.89 77.94 77.99 78.17 78.91 78.87 78.88 79.08 79.41 79.51 79.73 80.38 80.56 80.46 80.45 80.58 80.68 80.52 81.49 81.66 81.95 82.3 82.4 83.14 83.17 83.11 83.21 83.33 83.88 83.8 83.73
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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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