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Data:
10.93 10.92 10.89 10.94 10.98 10.99 11.02 11.04 11.05 11.05 11.02 10.91 11.01 11.02 11.03 11.04 11.06 11.08 11.06 11.06 11.09 11.07 11.06 11.08 11.08 11.08 11.11 11.09 11.08 11.05 11.07 11.06 11.06 11.07 11.02 11.01 11.04 11.02 11.03 11.17 11.19 11.15 11.13 11.06 11.01 11.03 10.99 10.94 11 11.06 11.06 11.05 11.04 11.15 11.2 11.16 11.3 11.23 11.25 11.25 11.12 11.14 11.17 11.25 11.27 11.34 11.39 11.44 11.46 11.49 11.51 11.48 11.49 11.52 11.56 11.58 11.58 11.58 11.6 11.62 11.62 11.64 11.67 11.66 11.72 11.82 11.9 12.04 12.08 12.15 12.19 12.22 12.23 12.25 12.26 12.27 12.34 12.38 12.42 12.43 12.48 12.5 12.5 12.49 12.46 12.45 12.45 12.38 12.42 12.37 12.35 12.35 12.36 12.32 12.32 12.34 12.35 12.34 12.31 12.24
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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
2 seconds
R Server
Big Analytics Cloud Computing Center
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