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Data:
91.16 91.17 91.17 91.38 92.68 92.72 92.79 92.81 92.81 92.81 92.81 92.81 92.81 92.82 92.82 92.88 93.38 93.89 94.1 94.18 94.3 94.31 94.36 94.38 94.38 94.5 94.57 94.89 96.71 97.57 97.88 97.97 98.4 98.51 98.46 98.46 98.48 98.6 98.6 98.71 99.13 99.2 99.3 100.18 101.37 101.77 102.28 102.38 102.35 103.23 105.37 106.62 107 107.24 107.31 107.35 107.42 107.58 107.64 107.64 107.68 108.51 110.37 111.31 111.57 111.66 111.69 111.9 111.95 112.04 112.13 112.14
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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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