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Data:
83.36 83.61 83.41 83.64 84.06 83.93 84.1 84.37 84.18 84.11 84.56 84.2 84.45 84.28 84.28 84.7 85.04 85.31 85.18 85.02 86.31 86.56 86.4 86.84 87.42 87.28 87.27 87.73 87.32 87.15 87.5 87.43 88.81 89.38 88.83 88.91 89.34 89.56 89.32 89.31 89.45 88.92 89.35 88.89 90.1 90.49 89.96 89.93 90.32 90.24 90.61 91.06 90.81 91.09 91.17 90.87 91.92 92.67 92.03 92.09 92.61 92.19 92.68 92.66 92.77 92.21 92.58 91.9 93.81 94.05 94.51 94.49 94.36 94.72 95.57 95.87 95.93 96.09 95.82 96.06 97.09 97.67 98.53 98.12 98.84 98.98 100.04 99.47 99.84 99.52 99.81 99.55 100.21 101.44 101 101.32 101.84 101.81 101.83 102.18 101.97 101.8 101.69 101.91 102.27 102.73 102.61 102.89
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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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1 seconds
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Big Analytics Cloud Computing Center
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