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Data:
99.42 99.42 99.42 99.42 99.42 109.26 110.00 110.00 109.26 100.07 100.07 100.05 100.05 100.05 100.05 100.05 100.05 108.77 111.32 111.60 108.52 103.13 102.87 102.75 102.75 102.75 102.75 102.75 102.75 115.22 115.53 115.40 111.99 107.93 107.43 106.98 106.98 106.98 106.98 106.98 106.98 113.71 118.77 118.54 116.16 110.52 110.06 109.90 109.90 110.72 110.09 110.07 112.45 113.06 119.83 119.84 113.73 110.50 110.12 109.86 110.36 110.36 110.59 112.52 112.10 115.90 122.96 121.26 114.55 111.57 110.65 109.77
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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
R Server
Big Analytics Cloud Computing Center
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