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Data:
93.65 92.68 92.70 92.73 92.80 92.86 93.02 93.02 93.04 93.09 93.11 93.11 93.20 93.21 93.22 93.23 93.29 93.42 93.43 93.45 93.45 93.49 93.50 93.56 93.68 93.70 94.01 94.07 94.33 94.43 94.47 95.35 95.37 95.46 95.83 96.00 96.85 97.84 98.38 98.90 99.51 99.93 99.95 101.40 101.56 101.65 101.70 101.91 101.91 102.29 102.33 102.44 102.57 102.59 102.84 102.88 103.04 103.16 103.20 103.23 103.27 103.31 103.59 104.35 104.55 104.60 104.67 104.93 105.08 105.15 109.25 109.82
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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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