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Data:
1196 1141 6081 -3508 1782 -891 -2043 35 5042 -1837 406 -3621 1987 1627 6692 -3999 679 -215 -2820 799 9957 5154 1302 6287 1891 2191 7336 -2351 881 388 -1936 1120 4438 -3495 1012 -3704 2879 1907 6451 -2814 1613 -40 -3086 292 5283 -1671 3529 -3191 2090 3278 5686 -1817 2322 -705 -1980 646 6077 2632 2356 -1717 1733 2232 6167 -4668 1694 589 -4163 174 5421 -38 3158 -4322 1920 2527 7755 -2567 -388 -2084 -2024 -131 5615 187 2054 -7172
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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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2 seconds
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Big Analytics Cloud Computing Center
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