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Data:
92.94 92.97 93.37 92.6 92.84 92.55 92.93 92.44 93.36 93.24 92.65 92.06 92.88 91.69 91.66 90.26 91.11 92.33 91.82 92.24 93.35 93.53 93.34 92.59 92.42 92.64 94.44 93.59 93.39 93.33 93.72 95.43 97.06 97.7 97.59 96.97 97.75 99.27 100.63 99.8 99.5 99.72 99.77 100.18 101.11 100.67 101.13 100.46 101.6 102.3 103.26 104.56 104.61 104.62 105.03 104.93 104.73 104.33 104.6 104.41 104.63 105.55 106.12 106.62 106.72 106.52 106.79 106.95 106.92 106.74 108.13 107.86
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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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