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Data:
4.43 4.43 4.44 4.44 4.44 4.45 4.47 4.48 4.48 4.5 4.52 4.52 4.53 4.53 4.63 4.66 4.67 4.68 4.69 4.69 4.7 4.71 4.72 4.72 4.72 4.73 4.74 4.76 4.81 4.82 4.83 4.83 4.84 4.89 4.92 4.95 4.95 5.01 5.05 5.08 5.11 5.14 5.17 5.18 5.2 5.22 5.24 5.28 5.29 5.33 5.4 5.43 5.46 5.46 5.46 5.47 5.49 5.5 5.54 5.55 5.55 5.56 5.6 5.61 5.63 5.64 5.66 5.67 5.69 5.77 5.77 5.78 5.8 5.82 5.85 5.87 5.88 5.9 5.91 5.94 5.97 5.98 6 6.01 6.02
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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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