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Data:
103.1 95.2 110.2 105.3 107.4 108.1 108 98.8 104.2 107.8 103.5 129.6 100.1 96 111.4 108.3 103.6 106.8 102.5 101 105.5 105.1 103.9 126.4 101 99.3 113.5 99.1 108.2 109.2 100.1 105.5 103 105.8 106.1 122.2 101.9 94.5 112.1 97.6 110 104.6 102.1 106 98.5 106.2 106 120.9 102.4 94.2 105.6 102.9 111.4 105.4 104.6 103.6 102.1 109.3 103.9 125.3 106.2 96.2 105.5 104.7 111 109.2 106.7 103.6 103.9 112.4 103.2 129.1 102.8 99.1 111.9 103.7 108.5 110.1 106.8
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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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