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Data:
79.57 77.45 75.79 74.88 74.5 74.59 74.59 73.57 73.3 73.23 73 72.31 72.31 71.24 70.82 70.66 69.94 69.87 69.87 68.88 68.09 68.38 66.78 67.2 67.2 66.67 65.86 66.05 66.31 66.39 66.39 65.72 65.52 64.93 65.27 65.04 65.02 64.72 64.68 64.41 64.79 64.71 64.71 64.83 64.77 64.19 64.27 64.23 64.23 63.03 62.85 62.15 61.69 62.1 62.1 61.81 61.28 61.05 61.08 60.98 60.98 61.11 60.58 60.37 59.44 59.29 59.29 59.33 59.06 58.75 58.92 58.73
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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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