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10 9 12 14 6 13 12 13 6 12 10 9 12 7 10 11 15 10 12 10 12 11 11 12 15 12 11 9 11 11 9 15 12 9 12 12 9 9 11 12 12 12 12 6 11 12 9 11 9 10 10 9 12 11 9 9 12 6 10 12 11 14 8 9 10 10 10 11 10 12 14 10 8 8 7 11 6 9 12 12 12 9 15 15 13 9 12 9 15 11 11 6 14 11 8 10 10 9 8 9 10 11 14 12 9 13 8 12 14 9 10 12 12 9 9 12 15 12 11 8 11 11 10 12 9 11 15 14 6 9 9 8 7 10 6 9 9 7 11 9 12 9 10 11 7 12 8 13 11 11 12 11 12 3 10 13 10 6 11 12 9 10 15 9 6 9 15 15 9 11 9 11 10 9 6 12 13 12 12
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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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