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21 15 18 11 8 19 4 20 16 14 10 13 14 8 23 11 9 24 5 15 5 19 6 13 11 17 17 5 9 15 17 17 20 12 7 16 7 14 24 15 15 10 14 18 12 9 9 8 18 10 17 14 16 10 19 10 14 10 4 19 9 12 16 11 18 11 24 17 18 9 19 18 12 23 22 14 14 16 23 7 10 12 12 12 17 21 16 11 14 13 9 19 13 19 13 13 13 14 12 22 11 5 18 19 14 15 12 19 15 17 8 10 12 12 20 12 12 14 6 10 18 18 7 18 9 17 22 11 15 17 15 22 9 13 20 14 14 12 20 20 8 17 9 18 22 10 13 15 18 18 12 12 20 12 16 16 18 16 13 17 13 17
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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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