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Data:
97.51 96.65 95.91 95.86 95.7 95.57 95.57 95.57 94.87 95.07 95.13 95.48 95.38 95.38 95.48 95.77 94.78 92.51 92.17 91.75 90.43 90.55 90.37 90.4 90.41 90.41 90.41 89.77 89.77 89.77 89.37 89.81 89.07 89.84 89.73 90.02 88.39 90.13 90.13 90.37 89.73 89.73 89.73 89.73 89.6 89.63 86.42 86.8 86.51 86.41 86.39 86.62 85.85 87.36 87.28 87.35 87.35 87.35 87.38 88.17 88.37 87.44 87.44 87.47 87.47 87.48 87.11 87.11 86.26 86.28 86.28 86.28
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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
R Server
Big Analytics Cloud Computing Center
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