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Data:
109.12 109.12 109.73 112.59 112.59 112.29 113.8 114.16 112.29 112.29 110.99 110.99 110.99 110.99 111.98 114.26 114.26 114.44 115.47 115.41 114.63 116.48 115.8 115.18 115.18 115.18 115.18 116.38 122.41 122.47 123.09 123.09 123.09 123.09 121.77 121.52 121.52 121.52 121.52 124.73 125.23 124.62 128.94 129.34 127.17 128.08 124.54 121.21 120.85 119.02 119.13 119.84 125.53 124.16 127.32 127.22 122.57 125.45 125.45 127.32 128.79 128.99 129.8 130.33 131.19 132.02 136.97 139.45 128.31 130.73 129.83 125.46 130.23 130.23 132.65 136.34 139.12 133.94 143.09 142.71 136.09 134.57 134.65 134.35
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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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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