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Data:
122.27 124.69 147.56 120.03 136.01 138.16 122.87 112.22 137.35 139.08 139.64 121.12 132.37 130.69 149.41 130.72 139.14 146.55 137.35 122.73 138.97 154.73 143.4 123.88 140.25 142.39 143.81 153.58 144.71 153.84 151.3 121.92 153.05 149.29 118.81 109.19 103.68 106.94 114.43 107.87 103.14 117.02 112.44 95.85 123.86 121.83 121.95 120.34 113.32 117.31 141.69 130.35 127.28 148.1 131.21 120.37 146.91 144.04 141.77 132.15 142.04 149.77 172.31 150.24 163.23 155.92 146.96 134.51 152.83 150.54 150.98 138.82
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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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1 seconds
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Big Analytics Cloud Computing Center
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