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Data:
79.49 79.69 79.86 79.87 79.83 79.83 79.83 79.37 79.53 79.78 79.94 79.97 79.97 79.98 80.25 80.38 80.13 80.15 80.15 80.18 80.47 80.83 80.62 80.66 80.66 80.67 80.8 81.04 81.24 81.26 81.26 81.47 81.94 82.83 82.29 82.32 82.32 82.3 82.54 82.54 82.62 82.63 82.63 82.63 82.71 83.25 83.14 83.34 83.34 83.37 83.33 83.26 83.66 83.64 83.64 83.71 83.87 84.17 84.35 84.44 84.44 84.45 84.67 84.95 84.89 84.93 84.93 84.93 85.45 85.77 85.79 85.9
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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
2 seconds
R Server
Big Analytics Cloud Computing Center
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