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Data:
94.67 94.6 93.9 93.41 93.37 93.35 93.08 93.05 92.61 92.37 92.24 91.95 92.63 92.7 92.47 92.58 92.55 92.56 89.92 89.96 90.03 90.31 90.8 90.36 90.31 93.8 93.95 93.99 94.44 94.15 91.91 91.86 93.12 93.47 93.57 94.57 95.85 96.62 95.69 95.39 95.14 95.07 94.21 95.4 95.1 94.89 95.43 94.88 96.03 96.37 96.04 95.72 95.74 95.78 93.66 95.29 94.33 95.66 95.2 94.61 96.21 96.27 95.12 95.55 93.51 92.86 92.45 93.34 92.01 91.77 92.19 91.97
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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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