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Data:
47.87 47.87 47.89 47.88 47.91 47.92 47.92 47.91 47.93 48.05 48.03 48.04 48.04 48.06 48.04 48.09 48.12 48.16 48.16 48.16 48.08 48.13 48.16 48.15 48.15 48.15 48.27 48.47 48.51 48.53 48.53 48.53 48.68 48.64 48.67 48.66 48.66 48.67 48.71 48.96 49.01 49.04 49.04 49.04 49.06 49.13 49.19 49.26 49.26 49.26 49.29 49.43 49.43 49.45 49.45 49.46 49.57 49.68 49.71 49.7 49.7 49.8 49.84 50.09 50.2 50.16 50.16 50.29 50.36 51.02 51.03 51.04
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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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