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Data:
46.83 45.93 45.93 45.93 45.9 45.91 45.85 45.58 45.56 45.5 45.5 45.5 45.51 45.49 45.4 45.38 45.38 45.38 45.49 45.41 44.99 44.98 44.93 44.93 44.91 44.86 44.76 44.89 44.89 45 45.01 45.11 45.05 44.67 44.48 44.48 44.48 44.58 44.79 44.79 44.41 44.41 44.44 44.43 44.36 44.39 44.39 44.41 44.32 44.43 44.82 44.97 44.91 44.79 44.76 44.8 44.65 44.49 44.56 44.4 44.45 44.46 44.39 44.5 44.44 44.41 44.4 44.42 44.49 44.46 44.49 44.5
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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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