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Data:
49.98 50.12 50.37 50.39 50.34 50.32 50.32 50.32 50.67 50.86 50.95 51.02 51.02 51.06 50.9 51.23 51.29 51.3 51.3 51.3 51.46 51.47 51.77 51.82 51.82 51.84 51.9 51.94 52.22 52.27 52.27 52.28 52.53 52.73 52.72 52.67 52.67 52.65 52.69 52.73 52.84 52.83 52.83 52.84 52.82 53.09 53.4 53.43 53.43 53.42 53.6 53.69 54.05 54.04 54.04 54.08 54.05 54.39 54.38 54.46 54.46 54.69 54.91 55.52 56.01 56.07 56.07 56.09 56.29 56.45 56.87 56.87
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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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