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Data:
7.52 7.71 7.61 7.56 7.6 7.62 7.62 7.54 7.49 7.45 7.46 7.37 7.43 7.63 7.6 7.55 7.59 7.59 7.59 7.51 7.5 7.46 7.51 7.53 7.57 7.61 7.83 7.86 7.86 7.85 7.85 7.72 7.76 7.9 7.88 7.99 7.99 8.09 7.94 7.92 8.06 8.09 8.08 7.96 7.85 7.91 8.05 8.09 8.1 8.22 8.18 8.25 8.33 8.25 8.22 8.17 8.18 8.18 8.09 8.05 8.07 8.16 8.09 8.03 8.1 8.12 8.12 8.12 8.14 8.12 8.14 8.19 8.23 8.23 8.28 8.31 8.43 8.39 8.39 8.4 8.39 8.43 8.38 8.61
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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
1 seconds
R Server
Big Analytics Cloud Computing Center
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