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Data:
30.06 30.46 30.46 30.49 30.49 30.5 30.5 30.5 30.51 30.51 30.61 30.88 30.95 31.09 31.28 31.31 31.32 31.34 31.34 31.34 31.34 31.36 31.36 31.36 31.72 32.07 32.13 32.19 32.26 32.27 32.28 32.28 32.28 32.29 32.61 32.68 32.69 32.74 32.86 32.86 32.9 32.95 32.95 32.96 32.99 33 33.06 33.42 33.48 33.5 33.51 33.52 33.55 33.56 33.56 33.56 33.6 33.61 33.62 33.72 33.83 33.96 34.06 34.11 34.11 34.21 34.19 34.17 34.12 34.15 34.15 34.15
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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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