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Data:
98.01 99.2 100.7 106.41 107.51 107.1 99.75 98.96 107.26 107.11 107.2 107.65 104.78 105.56 107.95 107.11 107.47 107.06 99.71 99.6 107.19 107.26 113.24 113.52 110.48 111.41 115.5 118.32 118.42 117.5 110.23 109.19 118.41 118.3 116.1 114.11 113.41 114.33 116.61 123.64 123.77 123.39 116.03 114.95 123.4 123.53 114.45 114.26 114.35 112.77 115.31 114.93 116.38 115.07 105 103.43 114.52 115.04 117.16 115
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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
3 seconds
R Server
Big Analytics Cloud Computing Center
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