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Data:
39.28 39.36 39.55 39.64 39.8 39.79 39.79 39.86 39.91 40 40.01 40.01 40.01 39.96 40 39.76 39.68 39.7 39.7 39.73 39.64 39.56 39.67 39.66 39.66 40.05 39.99 40.06 40.08 40.1 40.1 40.12 40.07 40.24 40.58 40.72 40.72 40.89 40.9 41.04 41.27 41.29 41.29 41.33 41.34 41.37 41.33 41.37 41.37 41.42 41.61 41.58 41.75 41.75 41.75 41.85 41.84 41.97 42.01 42.04 42.04 42.06 41.93 41.93 41.99 42.03 42.03 42.12 42.22 42.21 42.23 42.22
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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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