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Data:
35.75 36.25 35.32 33.80 31.54 30.74 30.55 30.06 30.30 32.24 33.42 33.31 33.76 33.61 33.68 34.17 34.17 34.07 32.36 31.57 31.34 30.81 29.95 29.74 29.56 29.91 29.82 31.46 32.55 32.82 32.74 33.05 32.63 31.85 31.99 31.39 30.16 30.04 29.55 29.12 29.31 29.36 29.67 30.69 31.08 31.08 31.10 30.96 31.94 31.59 32.01 32.13 32.20 32.05 32.12 31.66 32.99 36.02 37.10 37.96 38.96 41.66 47.29 49.42 48.17 46.25 45.43 43.83 41.51 38.25 35.23 34.18
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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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