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Data:
92.76 93.12 93.6 93.24 93.4 93.32 93.13 93.19 93.84 94.01 93.78 93.47 93.6 92.85 92.91 92.29 92.5 93.1 92.86 93.19 93.73 93.88 93.85 93.45 93.43 93.59 95.28 94.95 94.49 94.45 94.35 95.52 96.89 97.54 97.65 97.35 98.2 99.46 100.35 99.72 99.69 99.62 99.77 100.19 100.82 100.36 101.08 100.73 101.51 102.12 102.88 103.47 103.53 103.67 103.68 103.76 103.67 103.01 103.39 103.43 103.4 104.8
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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
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Big Analytics Cloud Computing Center
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