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Data:
16.46 16.49 16.59 16.58 16.60 16.55 16.57 16.51 16.50 16.49 16.44 16.26 16.33 16.72 16.75 16.74 16.84 16.79 16.66 16.69 16.84 16.86 16.76 16.72 16.29 16.29 16.46 16.54 16.70 16.82 16.88 16.89 16.92 16.88 16.91 16.80 16.78 17.03 17.18 17.12 17.11 17.14 17.17 17.21 17.22 17.19 17.15 17.10 17.21 17.33 17.30 17.33 17.35 17.43 17.46 17.50 17.54 17.56 17.44 17.41 17.72 17.79 17.83 17.76 17.95 17.91 17.96 17.98 17.89 17.88 17.91 17.51 17.63
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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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