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Data:
75 84.3 84 79.1 78.8 82.7 85.3 84.5 80.8 70.1 68.2 68.1 72.3 73.1 71.5 74.1 80.3 80.6 81.4 87.4 89.3 93.2 92.8 96.8 100.3 95.6 89 87.4 86.7 92.8 98.6 100.8 105.5 107.8 113.7 120.3 126.5 134.8 134.5 133.1 128.8 127.1 129.1 128.4 126.5 117.1 114.2 109.1 110.3 109.2 103.6 98.9 95.9 91.2 98.7 94.5 95.6 93.8 89.5 87.1 87.1 84.5 84.2 83.7 82.2 77.7 78.5 79.1 78.6 79 76.2 77.8
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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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1 seconds
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Big Analytics Cloud Computing Center
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