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Data:
10.99 11 10.9 10.99 11.04 11.03 10.99 11 10.87 10.88 10.91 10.92 10.83 10.9 10.82 10.79 10.77 10.72 10.71 10.63 10.61 10.57 10.65 10.57 10.57 10.57 10.52 10.43 10.35 10.2 10.2 10.17 10.14 10.05 10.12 10.12 10.03 10.03 9.96 9.94 9.9 9.84 9.82 9.78 9.77 9.75 9.72 9.65 9.63 9.62 9.63 9.62 9.65 9.61 9.57 9.61 9.58 9.55 9.5 9.47 9.43 9.38 9.35 9.34 9.35 9.33 9.31 9.29 9.27 9.29 9.27 9.26
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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
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Big Analytics Cloud Computing Center
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