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Data:
246.24 247.57 247.84 248.27 248.3 248.31 248.31 248.38 248.37 248.41 248.68 248.75 248.75 247.95 248.13 247.86 246.23 245.98 245.98 246.27 246.31 246.3 246.67 246.78 246.78 247.91 247.99 248.6 248.68 248.75 248.75 249.03 249.05 249.57 249.35 249.46 249.46 250.82 254.19 255.18 256.68 256.73 256.73 257.39 257.78 258.67 258.71 258.91 258.91 261.38 262.42 262.77 263.24 262.83 262.83 263.09 263.6 265.68 266.08 266.28 266.28 269.14 270.96 272.97 273.13 274.73 274.73 274.59 275.15 275.16 275.38 275.4
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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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