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Data:
16.32 16.36 16.65 17.29 17.30 17.37 17.41 17.67 17.84 17.85 17.87 17.99 18.07 18.10 18.10 18.14 18.15 18.16 18.24 18.32 18.38 18.39 18.39 18.40 18.41 18.50 18.60 18.60 18.62 18.70 18.80 18.81 18.88 19.00 19.16 19.44 20.01 20.19 20.21 20.30 20.45 20.61 20.76 20.85 20.91 21.05 21.10 21.22 21.77 21.83 21.84 21.89 21.90 22.00 22.00 22.00 22.10 22.15 22.37 22.40 22.63 22.63 22.71 22.81 23.01 23.37 23.55 23.96 25.10 25.42 25.66 25.72 25.85 26.15 26.17 26.20 26.27 26.39 26.63 26.82 26.88 27.00 27.00 27.38
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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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Summary of computational transaction
Raw Input
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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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