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Data:
95.97 96.22 95.8 96.02 96.04 96.15 96.15 95.99 96.08 96.29 96.3 96.44 96.44 96.83 96.7 97.06 97.64 97.61 97.61 97.61 97.55 97.58 97.79 97.79 97.79 97.79 98 98.37 98.68 98.89 98.89 98.89 98.88 98.97 99.05 99.05 99 99.03 99.2 100.3 100.79 100.75 100.75 100.17 99.98 99.93 100.04 100.04 100.49 100.71 100.7 101.27 101.07 101.17 100.71 100.59 100.52 100.65 100.62 100.62 100.59 100.42 100.55 100.41 100.4 99.93 100.26 100.34 100.24 99.98 100.08 100.24
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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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