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Data:
227.81 227.81 227.01 227.26 227.1 227.59 227.59 227.7 227.75 226.33 225.95 226.33 226.33 226.22 224.84 221.88 222.37 221.8 221.8 221.8 221.9 220.2 219.95 220.05 220.05 220.05 220.62 221.53 221.61 221.5 221.5 221.87 222.27 220.86 221.49 221.67 221.67 221.72 221.67 220.29 220.75 219.59 219.59 219.59 219.82 221.59 220.9 221.01 221.01 219.69 221 219.82 218.04 217.97 217.97 217.53 217 217.18 217.68 217.71 217.71 218.5 218.8 218.94 220 219.89 219.89 220.08 220.16 221 222.16 221.5
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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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Computing time
1 seconds
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Big Analytics Cloud Computing Center
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