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Data:
2.14 2.45 2.52 2.3 2.25 2.06 1.99 2.25 2.26 2.36 2.3 2.19 2.31 2.21 2.21 2.26 2.18 2.21 2.33 2.12 2.08 1.97 2.09 2.11 2.24 2.45 2.68 2.73 2.76 2.83 3.16 3.22 3.22 3.34 3.35 3.42 3.58 3.71 3.68 3.83 3.94 3.88 4.03 4.15 4.32 4.4 4.37 4.14 4.11 4.16 3.98 4.13 3.76 3.66 3.85 4.03 4.31 4.58 4.46 4.41 3.84 2.84 2.66 2.17 1.43 1.47 1.29 1.23 1.09 0.94 0.76 0.67
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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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