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Data:
103.24 103.43 103.43 103.43 103.31 103.31 103.31 103.31 104.06 104.8 105.36 105.38 105.38 105.38 108.37 112.21 112.05 112.05 112.06 112.05 111.36 111.36 111.36 111.36 111.78 111.89 111.89 111.89 112.02 112.02 112.02 112.02 112.02 112.02 112.02 111.28 111.28 111.28 111.28 110.56 110.56 110.56 110.56 110.56 111.37 109.43 109.43 109.57 109.57 109.57 109.57 109.57 109.39 111.68 111.68 111.68 111.93 111.93 111.93 111.93 111.56 111.89 111.89 111.89 110.82 110.82 110.82 110.82 110.98 110.98 111.78 111.78
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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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