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Data:
92.44 94.36 93.42 92.97 94.83 91.47 88.42 86.36 86.01 87.87 89.81 88.41 86.33 89.64 89.53 88.3 99.49 98.81 90.97 92.58 92.98 95 92.47 88.65 84.81 88.6 89.31 92.34 91.53 96.95 95.44 89.59 89.86 91.66 92.7 90.54 86.17 89.15 89.73 91.07 93.36 96.27 95 94.72 97.16 100.92 98.66 95.87 94.6 98.41 98.05 99.82 106.96 107.45 100.25 99.28 101.38 101 97.43 95.38 95.17 94.13 96.43 105.38 98.39 99.8 94.43 90.16 85.49 90.57 88.22 89.66
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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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