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Data:
97.5 98.61 101.34 103.89 105.42 106.56 106.96 107.65 107.95 107.71 106.25 104.37 104.69 104.39 104.59 104.78 105.03 105.01 105.01 105.67 106.08 106.74 101.34 100.86 100.98 103.23 104.48 105.88 105.76 105.44 105.44 105.24 105.42 105.26 101.19 99.82 100.77 102.48 103.95 106.34 107.17 107.03 107.16 107.17 108.65 109.07 104.02 104.13 104.51 105.61 106.08 110.05 111.01 110.95 110.95 110.96 111.24 109.78 106.8 105.82 106.42 107.63 107.89 108.55 109.91 110.17 110.38 110.41 110.58 109.49 108.08 107.7 107.72 108.51 108.55 110.3 111.4 111.95 112.32 112.53 112.51 112.78 111.53 110.24 110.4 110.24 112.25 113.27 113.96 114.36 114.43 115.18 116.68 117.83 114.69 113.33
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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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