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Data:
105.71 105.82 105.82 105.72 105.76 105.80 105.09 105.06 105.16 105.20 105.21 105.23 105.19 105.16 104.88 104.52 104.09 104.35 104.48 104.47 104.55 104.59 104.59 104.72 104.65 104.72 104.92 105.05 103.74 103.81 103.79 104.28 103.80 103.80 104.02 104.02 104.91 104.97 103.86 104.17 103.21 103.21 101.91 101.84 101.91 101.79 101.79 101.79 102.09 102.18 102.20 101.97 102.05 102.04 101.78 101.79 101.80 101.83 101.83 101.88 101.90 101.91 101.17 101.17 101.23 101.26 101.49 101.51 101.61 101.39 101.43 101.44
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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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