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Data:
102.59 102.91 101.94 101.8 102.25 102.6 102.49 102.13 100.76 100.86 101.12 100.74 99.99 99.39 99.52 99.21 99.38 99.37 99.38 99.26 99.36 99.2 98.53 98.65 99.15 100.17 99.98 100.07 99.94 100.05 99.13 98.74 98.64 98.44 98.81 98.88 99.63 100.08 100.07 100.55 99.98 99.89 99.86 99.61 100.12 100.24 100.1 99.86 97.99 97.57 98.28 97.97 97.99 97.84 97.33 96.7 96.79 96.76 96.23 96.29 96.46 97.23 97.59 97.13 97.37 96.12 96.96 96.7 97 97.15 96.51 96.68
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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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