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Data:
47.43 47.43 47.51 47.96 47.99 48.05 48.05 48.01 48 48.06 48.23 48.4 48.4 48.5 48.41 48.35 48.53 48.52 48.52 48.49 48.45 48.65 48.74 48.74 48.74 48.79 48.82 48.82 49.2 49.3 49.3 49.34 49.47 49.65 49.7 49.75 49.75 49.7 50.09 50.19 50.53 50.55 50.55 50.55 50.58 50.61 50.94 51.01 51.01 51.04 51.15 51.31 51.31 51.34 51.34 51.34 51.47 51.95 51.97 51.92 51.92 51.91 51.97 52.14 52.33 52.4 52.4 52.41 52.71 53.17 53.33 53.32 53.32 53.3 53.31 53.72 53.87 53.91 53.91 53.96 54.02 54.33 54.48 54.54
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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 Input
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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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