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Data:
85.3 85.65 85.15 84.94 85.15 85.15 85.15 85.14 85.37 85.61 85.59 85.54 85.54 85.5 85.78 86.16 86.38 86.49 86.49 86 85.9 85.66 85.64 85.6 85.6 85.57 85.81 86.29 86.37 86.41 86.41 86.38 86.62 87.08 87.19 87.21 87.21 87.24 87.16 87.05 87.04 86.98 86.98 86.94 86.96 86.98 86.86 86.82 86.82 86.84 86.91 86.85 86.61 86.65 86.65 86.36 86.33 86.43 86.36 86.29 86.29 86.44 86.51 86.72 86.93 86.79 86.79 86.8 86.41 86.26 86.19 86.28
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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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Raw Output
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Computing time
2 seconds
R Server
Big Analytics Cloud Computing Center
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