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Data:
13.81 13.9 13.91 13.94 13.96 14.01 14.01 14.06 14.09 14.13 14.12 14.13 14.14 14.16 14.21 14.26 14.29 14.32 14.33 14.39 14.48 14.44 14.46 14.48 14.53 14.58 14.62 14.62 14.61 14.65 14.68 14.7 14.78 14.84 14.89 14.89 15.13 15.25 15.33 15.36 15.4 15.4 15.41 15.47 15.54 15.55 15.59 15.65 15.75 15.86 15.89 15.94 15.93 15.95 15.99 15.99 16.06 16.08 16.07 16.11 16.15 16.18 16.3 16.42 16.49 16.5 16.58 16.64 16.66 16.81 16.91 16.92 16.95 17.11 17.16 17.16 17.27 17.34 17.39 17.43 17.45 17.5 17.56 17.65
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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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