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Data:
86.48 86.48 86.7 87.86 88.24 88.23 88.73 88.82 87.16 86.29 86.37 86.59 85.46 85.85 86.93 87.66 87.84 88.09 88.58 88.06 88.26 89 90.78 90 89.84 89.82 91.12 91.5 93.03 94.23 94.76 92.83 92.49 90.85 88.19 86.31 85.74 86.62 86.66 87.39 87.59 88.8 88.64 89.55 89.04 88.49 89.5 89.46 90.33 90.27 91.5 92.53 93.14 93.01 92.84 92.88 93.05 93.17 93.67 94.9 95.72 96.08 97.52 98.26 98.48 98.09 98.03 98.14 98.71 98.69 98.72 98.47 99.49 99.84 100.9 101.31 100.09 99.28 99.57 101.04 101.87 101.39 100.3 99.95 99.87 100.51 100.27 100.04 99.23 99.32 99.95 100.23 101.02 99.83 99.61 100.12 99.83 100.03 100.07 100.46 100.43 100.68 101.8 101.21 100.63 100.55 99.76 98.8
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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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