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Data:
92.9 93.3 93.6 93.6 94 94 94.2 93.3 93 93 94.7 95.6 95.8 96 95.4 95.3 94.4 94.4 94.3 93.9 94.5 93.6 93.9 93.9 93.7 94.6 94.4 94 91.1 91.1 90.7 90.8 89.8 90.7 90.3 89.7 89 88.4 89.3 89.3 89.3 89.3 88.4 89.4 91.3 90.9 91 89.3 88.1 89 90.1 90.6 90.6 90.2 89.5 90.5 90.4 89.7 90 90.2 89.3 89.6 89.8 89.4 89.3 89.4 89.5 89.2 90 88 88.3 89.1
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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
2 seconds
R Server
Big Analytics Cloud Computing Center
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