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Data:
163.93 164.28 164.58 165.97 166.3 166.27 166.27 166.44 166.26 166.64 166.07 166.19 166.19 166.19 166.35 166.52 167.17 167.16 167.16 167.16 167.39 168.46 168.55 168.58 168.58 169.21 169.29 169.24 169.53 169.57 169.57 169.67 170.04 170.39 170.57 170.48 170.48 170.48 170.49 170.72 171.11 171.07 171.07 171.07 171.05 172.28 172.74 172.86 172.86 173.24 173.2 173.38 172.89 172.98 172.98 172.69 172.77 172.65 172.3 172.17 172.17 173.07 173.27 173.05 173.41 173.37 173.37 173.08 173.97 175.23 174.9 174.83
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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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