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Data:
1.26 1.26 1.28 1.34 1.39 1.47 1.57 1.63 1.72 1.43 1.35 1.41 1.44 1.43 1.43 1.42 1.45 1.51 1.48 1.48 1.45 1.38 1.46 1.45 1.41 1.45 1.47 1.47 1.53 1.56 1.66 1.79 1.78 1.46 1.41 1.43 1.43 1.45 1.35 1.35 1.29 1.29 1.26 1.3 1.3 1.16 1.24 1.15 1.21 1.22 1.17 1.13 1.15 1.2 1.23 1.25 1.38 1.28 1.26 1.25 1.26 1.28 1.31 1.22 1.23 1.36 1.54 1.58 1.44 1.29 1.28 1.23
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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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2 seconds
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Big Analytics Cloud Computing Center
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