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Data:
87.5 87.3 87.8 88.1 88.0 87.8 87.0 87.2 87.0 89.4 89.1 87.8 87.8 88.0 86.5 84.1 84.3 84.7 85.7 86.4 86.0 86.9 89.1 90.7 89.8 89.4 88.6 86.8 86.8 89.5 88.5 91.2 92.3 92.0 92.8 92.9 92.7 94.2 94.0 94.3 94.8 94.7 95.1 97.0 97.9 97.3 96.5 98.1 99.3 99.9 99.9 99.9 99.8 99.5 99.9 100.1 100.1 100.2 100.6 100.8 100.8 100.5 101.0 100.5 99.0 97.9 97.6 97.2 96.5 96.3 96.3 96.2 95.6 93.5 93.2 93.6 94.6 96.1 98.4 99.6 99.4 99.7 100.1 99.9
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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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