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Data:
108.56 108.71 116.73 118.88 119.6 119.62 119.64 119.74 119.74 119.74 119.9 119.9 119.9 119.9 119.9 121.02 122.95 123.62 123.67 123.81 123.83 123.83 123.83 123.83 123.89 123.89 124.44 125.51 125.89 126.12 126.25 126.25 126.3 126.31 126.38 125.51 126.82 126.86 126.86 127.28 128.72 128.77 128.84 128.88 128.88 128.88 128.88 128.88 128.89 128.9 128.92 129.05 129.83 130.54 130.82 130.91 131.04 131.07 131.15 131.2 131.2 131.42 131.45 131.7 134.24 135.17 135.51 135.65 136.02 136.07 136.13 136.07
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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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