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Data:
101.15 101.14 101.23 101.11 101.55 101.55 101.55 101.6 101.71 101.81 101.95 102.12 102.11 102.25 102.35 102.42 102.34 102.32 102.39 102.45 102.68 102.77 102.83 102.83 103.21 103.58 102.5 102.68 102.7 102.7 102.73 102.72 102.71 102.91 103.1 103.1 103.39 103.38 103.34 103.33 103.33 103.33 103.48 104.38 105.76 107.37 108.16 111.21 112.77 114.39 114.37 114.52 114.54 114.78 114.83 115.86 117 117.27 117.38 117.83
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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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2 seconds
R Server
Big Analytics Cloud Computing Center
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