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Data:
1.58 1.59 1.55 1.52 1.51 1.5 1.56 1.59 1.59 1.59 1.6 1.57 1.55 1.54 1.58 1.57 1.56 1.62 1.59 1.61 1.63 1.74 1.77 1.82 1.78 1.75 1.76 1.72 1.78 1.82 1.91 1.82 1.91 1.81 1.59 1.48 1.47 1.56 1.5 1.47 1.49 1.57 1.57 1.63 1.67 1.61 1.66 1.66 1.72 1.73 1.75 1.74 1.75 1.75 1.71 1.7 1.77 1.81 1.91 1.98 1.96 1.89 1.98 2.02 2.01 1.91 1.94 1.93 1.98 2.01 1.97 1.96 2.11 2.13 2.17 2.17 2.05 1.84 1.87 2.03 2.17 2.17 2.2 2.13
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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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Raw Output
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Computing time
2 seconds
R Server
Big Analytics Cloud Computing Center
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