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Data:
15.14 15.09 15.17 15.18 15.21 15.27 15.28 15.3 15.34 15.33 15.27 15.35 15.38 15.38 15.39 15.4 15.39 15.43 15.43 15.47 15.48 15.47 15.58 15.56 15.61 15.56 15.62 15.63 15.58 15.65 15.79 15.76 15.77 15.79 15.87 15.79 15.9 15.96 16.05 16.18 16.29 16.43 16.38 16.39 16.35 16.48 16.52 16.44 16.46 16.52 16.47 16.59 16.59 16.59 16.54 16.48 16.47 16.56 16.61 16.57 16.72 16.69 16.72 16.81 16.75 16.85 16.84 16.92 17.02 17.11 17.2 17.3 17.37 17.42 17.51 17.56 17.62 17.59 17.78 17.73 17.79 17.85 17.86 17.79 17.97 17.96 18.03 18.02 18.03 18.14 18.16 18.24 18.28 18.18 18.19 18.32
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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
1 seconds
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Big Analytics Cloud Computing Center
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