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Data:
106.42 106.22 106.32 105.81 105.92 107.54 107.34 107.24 107.74 105.71 105.41 106.22 106.32 106.12 106.22 105.92 105.71 105.71 105.92 105.71 105.41 104.49 101.35 99.72 99.01 97.89 95.86 94.95 95.35 95.15 95.46 95.56 95.05 94.64 93.63 93.12 93.53 97.18 96.27 95.15 97.08 101.95 103.07 103.68 102.87 102.56 103.38 103.27 102.89 102.69 101.54 102.9 101.53 101.96 101.99 101.11 101.75 101.71 104.11 103.57 103.32 103.64 103.68 103.79 103.01 101.54 101.9 103.68 104.62 104.11 105.04 104.83 105.05 104.68 107.32 109.9 109.77 110.69 110.54 110.89 110.95 109.73 110.85 110.39 110.58 110.4 111.07 110.86 111.38 111.44 110.36 110.06 108.34 107.94 107.39 107.1 107.61 107.74 106.9 106.71 106.6 108.21 110.54 110.91 109.51 110.27 111.39 112.13 111.64
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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
R Server
Big Analytics Cloud Computing Center
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