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17 17 18 21 20 28 19 22 16 18 25 17 14 11 27 20 22 22 21 23 17 24 14 17 23 24 24 8 22 23 25 21 24 15 22 21 25 16 28 23 21 21 26 22 21 18 12 25 17 24 15 13 26 16 24 21 20 14 25 25 20 22 20 26 18 22 24 17 24 20 19 20 15 23 26 22 20 24 26 21 25 13 20 22 23 28 22 20 6 21 20 18 23 20 24 22 21 18 21 23 23 15 21 24 23 21 21 20 11 22 27 25 18 20 24 10 27 21 21 18 15 24 22 14 28 18 26 17 19 22 18 24 15 18 26 11 26 21 23 23 15 22 26 16 20 18 22 16 19 20 19 23 24 25 21 21 23 27 23 18 16 16
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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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