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Data:
9.24 9.29 9.39 9.42 9.42 9.43 9.5 9.53 9.58 9.58 9.6 9.61 9.65 9.71 9.78 9.79 9.84 9.87 9.9 9.95 9.96 9.98 10.01 10 10.03 10.05 10.06 10.09 10.24 10.23 10.27 10.28 10.29 10.44 10.51 10.52 10.57 10.62 10.71 10.73 10.74 10.75 10.79 10.81 10.87 10.92 10.95 10.94 10.97 10.99 11.04 11.09 11.12 11.11 11.14 11.2 11.25 11.3 11.31 11.31 11.33 11.41 11.46 11.48 11.58 11.63 11.69 11.74 11.68 11.69 11.71 11.75
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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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Raw Output
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Computing time
2 seconds
R Server
Big Analytics Cloud Computing Center
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