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Data:
9.84 9.87 9.9 9.9 9.87 9.87 9.88 9.76 9.76 9.76 9.77 9.77 9.77 9.83 9.85 9.85 9.89 9.9 9.92 9.91 9.92 9.92 9.96 9.97 9.98 10.06 10.07 10.12 10.1 10.1 10.1 10.19 10.21 10.2 10.39 10.39 10.39 10.45 10.49 10.48 10.49 10.49 10.5 10.51 10.51 10.53 10.54 10.54 10.55 10.58 10.59 10.56 10.57 10.59 10.63 10.63 10.66 10.69 10.72 10.72 10.73 10.75 10.78 10.79 10.83 10.83 10.85 10.88 10.97 10.98 11 11.04 11.08 11.16 11.19 11.2 11.22 11.26 11.29 11.31 11.39 11.37 11.39 11.39
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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
1 seconds
R Server
Big Analytics Cloud Computing Center
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