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Data:
92.64 91.48 92.65 93.91 90.49 94.56 95.11 93.07 93.26 92.92 90.9 91.77 86.16 92.79 97.45 97.74 99.92 99.46 98.52 97.92 97.85 104.94 104.55 105.35 95.75 105.99 106.11 107.33 106.11 108.17 104.62 106.71 97.86 104.41 96.09 102.41 96.3 103.04 105.11 99.4 104.45 104.31 104.06 101.16 100.82 102.6 92.78 99.68 95.14 101.28 100.03 101.17 98.93 97.77 100.24 98.05 95.82 99.19 97.42 98.02 97.34 101.23 100.16 100.72 99.8 100.39 101.82 102.95 98.8 100.24 98.4 98.15
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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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1 seconds
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Big Analytics Cloud Computing Center
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