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Data:
251.97013888889 572.861805555554 -37.4798611111109 51.2284722222212 23.2534722222226 -382.704861111111 97.478472222223 168.111805555556 -207.379861111111 9.66180555555547 68.6118055555562 90.6784722222237 -151.90486111111 91.5701388888901 -398.563194444443 191.811805555557 -38.0798611111095 -62.8715277777774 185.936805555557 -77.013194444442 -43.6715277777766 115.245138888889 -75.888194444442 -358.113194444444 354.845138888888 -103.429861111112 -15.8548611111109 336.145138888889 -338.454861111111 103.003472222223 -167.104861111109 -126.67986111111 138.703472222223 80.4534722222234 208.653472222222 -89.2381944444423 -138.696527777776 -422.80486111111 207.395138888887 193.478472222223 70.7118055555566 66.2951388888905 -217.938194444443 88.4034722222241 177.411805555555 -224.796527777777 -47.138194444442 157.178472222224 80.095138888888 6.82013888889014 92.0618055555569 -339.104861111111 166.711805555557 55.1701388888887 51.3118055555569 -103.138194444444 -115.379861111112 -30.8798611111106 -204.55486111111 149.178472222224 -194.65486111111 377.528472222222 64.6451388888909
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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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