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Data:
101.68 101.25 101.24 101.11 101.08 101.09 101.09 101.62 101.66 101.96 102.04 102.02 102.02 101.51 101.62 101.83 102.06 102.14 102.14 102.59 102.92 103.31 103.54 103.58 103.58 102.83 102.86 103.03 103.2 103.28 103.28 103.79 103.92 104.26 104.41 104.45 99.92 99.18 99.18 99.35 99.62 99.67 99.72 100.08 100.39 100.77 101.03 101.07 101.29 101.1 101.2 101.15 101.24 101.16 100.81 101.02 101.15 101.06 101.17 101.22 101.84 101.79 101.88 101.9 101.91 101.96 101.26 101.06 100.98 101.12 101.24 101.25
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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
1 seconds
R Server
Big Analytics Cloud Computing Center
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