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Data:
20709.9 21227.3 23009.8 20416.2 20929.6 20763.9 19607.4 19419 19584.9 21878 21745.5 19206.8 21041.3 20407.1 22437 21050.3 20415.7 20220.6 20217.8 18286.4 20781.3 21619.6 20417.6 19988.6 21026.9 20128.3 21671.5 21053.2 19978.6 20572.6 20220.4 19107.6 21989.5 21701.2 19758.3 19843.9 18906.2 19071.2 22385.6 20208.5 19261.4 21470.1 19539.9 17665.1 19917.2 20399.5 19263 19026 18375.4 20165 21138.7 21414.3 20799.2 22773.6 19747.2 19910.7 22051.7 21705 22328.8 20910.3
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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
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Big Analytics Cloud Computing Center
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