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Data:
100.18 99.73 99.69 99.45 99.47 99.56 99.54 99.87 99.73 99.86 99.91 99.91 99.91 99.87 99.77 100.14 100.04 100.11 100.13 100.22 100.59 100.25 99.94 99.85 99.85 99.85 100.15 100.34 100.72 100.61 100.61 100.52 100.64 100.57 100.16 100.2 100.2 99.99 99.69 99.85 99.54 99.67 99.72 99.74 99.97 100.29 100.57 100.77 100.3 100.32 100.32 100.37 100.47 100.68 100.7 100.62 100.52 100.62 100.52 100.57 100.59 100.59 100.56 100.44 100.39 100.51 100.4 100.45 100.42 100.38 100.25 100.34
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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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