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Data:
46.56 46.72 47.01 47.26 47.49 47.51 47.52 47.66 47.71 47.87 48 48 48.05 48.25 48.72 48.94 49.16 49.18 49.25 49.34 49.49 49.57 49.63 49.67 49.7 49.8 50.09 50.49 50.73 51.12 51.15 51.41 51.61 52.06 52.17 52.18 52.19 52.74 53.05 53.38 53.78 53.82 53.88 53.96 54.14 54.2 54.35 54.36 54.39 54.77 54.91 55.06 55.38 55.41 55.47 55.58 55.67 55.97 56.03 56.06 56.08 56.43 56.65 56.96 57.37 57.51 57.61 57.7 57.91 58.12 58.18 58.16
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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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Computing time
1 seconds
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Big Analytics Cloud Computing Center
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