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18 19 18 15 19 19 19 18 20 14 15 18 19 16 18 18 17 19 19 17 18 16 20 13 19 15 17 17 16 17 19 18 19 20 16 17 16 16 16 16 14 17 18 16 16 16 15 19 16 17 19 17 17 15 16 16 16 17 18 18 18 19 14 13 18 16 15 18 18 16 19 17 17 19 19 20 19 18 16 16 15 20 16 16 20 20 18 15 14 16 14 18 20 20 18 20 14 20 17 20 14 16 20 19 18 17 17 19 15 18 15 16 16 20 18 20 18 17 19 18 19 17 18 17 16 19 18 17 18 16 20 14 17 13 13 17 18 16 19 17 16 17 17 17 20 14 20 19 16 19 17 19 20 19 19 16 18 16 17 18 16 17 15 18
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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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