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Data:
6.91 6.87 6.91 6.89 6.88 6.9 6.91 6.85 6.86 6.82 6.8 6.83 6.84 6.89 7.14 7.21 7.25 7.31 7.3 7.48 7.49 7.4 7.44 7.42 7.14 7.24 7.33 7.61 7.66 7.69 7.7 7.68 7.71 7.71 7.72 7.68 7.72 7.74 7.76 7.9 7.97 7.96 7.95 7.97 7.93 7.99 7.96 7.92 7.97 7.98 8 8.04 8.17 8.29 8.26 8.3 8.32 8.28 8.27 8.32 8.31 8.34 8.32 8.36 8.33 8.35 8.34 8.37 8.31 8.33 8.34 8.25 8.27 8.31 8.25 8.3 8.3 8.35 8.78 8.9 8.9 8.9 9 9.05
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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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