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Data:
15.58 15.66 15.73 15.74 15.77 15.78 15.8 15.81 15.82 15.88 15.85 15.89 15.92 16.02 16.1 16.13 16.21 16.25 16.27 16.21 16.21 16.24 16.32 16.32 16.36 16.48 16.54 16.58 16.56 16.55 16.58 16.53 16.6 16.46 16.48 16.48 16.49 16.54 16.67 16.72 16.79 16.86 16.84 16.86 16.96 17.01 17.02 17.04 17.04 17.39 17.54 17.57 17.58 17.56 17.63 17.67 17.71 17.75 17.82 17.86 17.89 17.96 18 18.08 18 18.02 18.01 18.02 17.95 17.96 18 18.01
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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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