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Data:
93.75 84.38 56.25 87.50 84.38 87.50 65.63 68.75 62.50 71.88 56.25 56.25 78.13 78.13 78.13 75.00 40.63 53.13 12.50 50.00 65.63 62.50 68.75 0.00 56.25 90.63 46.88 68.75 68.75 53.13 84.38 46.88 81.25 56.25 84.38 53.13 59.38 40.63 50.00 6.25 81.25 68.75 71.88 56.25 56.25 59.38 68.75 43.75 71.88 62.50 40.63 50.00 21.88 53.13 59.38 71.88 59.38 50.00 62.50 78.13 53.13 37.50 75.00 43.75 56.25 59.38 50.00 59.38 12.50 62.50 75.00 53.13 68.75 59.38 68.75 71.88
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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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