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Data:
82.75 83.4 84.12 83.88 83.61 83.58 83.58 83.27 83.59 83.64 83.72 83.88 83.61 85.36 87.2 88.28 88.64 88.67 88.34 89.21 89.55 89.65 88.43 91.15 94.11 96.78 97.94 97.57 96.48 96.18 95 93.84 95.54 94.06 93.92 92.55 93.88 92.19 91.42 91.39 89.12 90.27 91.76 95.68 97.54 98.47 100.11 99.9 101.11 98.86 102.71 102.02 100.61 100.62 99.51 98.63 97.44 96.5 94.3 92.92 96.07 95 93.27 91.94 91.62 91.01 90.62 97.72 99.09 99.72 100.22 99.15 101.16 101.8 103.31 101.19 99.09 95.91 94.56 95.76 100.36 102.67 103.58 100.89 103.46 104.86 104.88 104.46 103.83 101 99.36 96.71 95.23 95.62 95.8 94.79 95.39 94.9 94.84 94.68 94.17 94.1 93.84 94.2 97.76 98.26 99.63 98.75
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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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Raw Output
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Computing time
2 seconds
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Big Analytics Cloud Computing Center
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