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Data:
5.11 5.11 5.11 5.1 5.1 5.1 5.1 5.1 5.12 5.25 5.26 5.26 5.26 5.26 5.26 5.26 5.29 5.3 5.33 5.33 5.35 5.38 5.38 5.38 5.38 5.38 5.39 5.39 5.4 5.4 5.4 5.4 5.4 5.41 5.41 5.41 5.41 5.41 5.42 5.42 5.42 5.42 5.43 5.43 5.45 5.51 5.51 5.51 5.51 5.51 5.51 5.53 5.53 5.53 5.53 5.52 5.53 5.54 5.54 5.57 5.56 5.57 5.58 5.61 5.66 5.68 5.69 5.7 5.72 5.71 5.69 5.7 5.7
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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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