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Data:
8.41 8.39 8.43 8.44 8.49 8.47 8.53 8.52 8.51 8.53 8.54 8.53 8.47 8.63 8.67 8.73 8.57 8.55 8.63 8.65 8.44 8.62 8.37 8.59 8.84 8.72 8.8 8.69 8.68 8.57 8.85 8.85 8.85 8.93 8.75 8.78 8.77 9.03 9.01 9.07 8.99 9.02 8.99 8.98 8.94 8.94 8.75 8.86 8.87 8.84 8.84 9.91 10.18 10.34 10.36 10.26 10.16 10.31 10.46 10.54 10.47 10.48 10.46 11.3 11.58 11.69 11.63 11.51 11.37 11.42 11.7 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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1 seconds
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Big Analytics Cloud Computing Center
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