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Data:
115.43 115.55 117.14 119.09 119.55 119.8 121.32 121.48 119.63 118.61 118.82 119.93 118.7 119.99 116.67 116.84 115.17 114.21 114.77 115.59 116.64 118.79 125.63 127.42 131.17 137.68 144.41 146.09 151.26 156.56 158.38 154.21 158.06 154.83 150.89 149.22 148.34 143.88 134.48 133.73 130.08 123.11 122.08 126.83 123.17 123.82 125.6 126.32 129.15 130.09 133.81 136.83 138.34 138.67 137.86 138.56 141.65 142.42 143.12 146.17 147.8 151.87 157.12 158.97 161.4 165.81 165.1 164.64 167.88 167.14 169.83 169.71
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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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