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Data:
1.79 1.78 1.79 1.81 1.82 1.87 1.9 1.83 1.8 1.91 1.92 1.87 1.76 1.82 1.76 1.75 1.79 1.86 1.85 1.75 1.79 1.84 1.83 1.84 1.81 1.8 1.73 1.75 1.74 1.78 1.87 1.85 1.8 1.82 1.82 1.92 1.95 1.92 1.93 1.92 1.92 1.91 1.79 1.6 1.57 1.61 1.68 1.78 1.72 1.74 1.72 1.78 1.77 1.87 1.9 1.86 1.85 1.88 1.86 1.86 1.92 1.78 1.8 1.98 2.01 1.98 1.93 1.75 1.55 1.49 1.8 1.93 1.91 1.95 1.94 1.92 1.95 1.95 1.92 1.79 1.84 2.02 2.11 2.14
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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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