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Data:
105.86 105.97 106.08 106.04 106.65 106.85 106.85 106.95 107.29 107.65 107.87 107.98 107.98 107.83 108.69 108.91 109.67 109.72 109.72 109.72 109.74 109.78 110.49 110.37 110.37 110.41 110.64 110.88 110.91 110.99 110.99 110.99 111.28 112.37 112.35 112.24 112.24 112.21 112.35 112.71 113.08 113.26 113.26 113.27 113.85 114.92 115.24 115.21 115.21 115.18 115.24 116.24 116.68 116.77 116.77 116.84 116.94 117.83 118.16 118.27 113.62 113.72 113.53 113.69 114.61 114.46 114.68 114.72 115.62 115.4 115.43 115.44
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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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1 seconds
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Big Analytics Cloud Computing Center
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