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Data:
105.95 108.55 110.81 111.54 110.38 106.67 106.45 105.44 105.37 103.72 106.57 108.54 110.36 106.64 103.45 101.36 101.9 100.86 100.37 100.16 99.5 99.52 99.2 99.35 99.37 99.85 99.76 100.07 99.77 99.93 99.16 99.4 99.81 99.67 99.37 99.49 99.28 99.33 99.19 98.11 99.12 99.06 97.41 98.45 100.33 103.18 103.06 103.48 102.8 103.92 103.9 103.96 103.62 103.83 104.09 104.07 103.22 104.01 104.01 104.24 102.93 104.73 106.48 119.5 122.45 125.29 126.56 126.38 127.95 128.23 128.7 127.86
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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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