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Data:
8.55 8.56 8.57 8.59 8.61 8.62 8.62 8.63 8.71 8.72 8.74 8.75 8.79 8.82 8.82 8.84 8.86 8.86 8.85 8.86 8.86 8.87 8.88 8.9 8.91 8.96 8.98 8.99 9 9 9 9.01 9.01 8.99 8.99 8.99 9 9 9.02 9.05 9.05 9.05 9.06 9.06 9.08 9.07 9.06 9.08 9.07 9.11 9.15 9.15 9.17 9.2 9.23 9.26 9.27 9.28 9.29 9.29 9.11 9.06 9.11 9.13 9.13 9.19 9.2 9.23 9.24 9.28 9.32 9.32 9.32 9.36 9.37 9.38 9.41 9.44 9.44 9.44 9.47 9.48 9.56 9.58 9.56 9.58 9.7 9.74 9.76 9.78 9.84 9.88 9.96 9.97 9.96 9.96
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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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