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Data:
163.40 162.89 162.29 161.26 161.43 161.44 161.44 161.44 161.92 162.23 161.89 161.40 161.40 159.55 158.93 158.59 158.29 158.03 158.03 163.94 164.36 164.39 163.22 163.22 163.56 162.82 162.80 162.44 161.98 161.53 161.53 161.52 162.07 161.84 161.54 161.47 161.47 161.54 161.57 160.75 160.31 160.57 160.57 159.65 158.76 158.95 159.25 158.72 158.72 158.72 158.53 157.92 157.89 157.81 157.81 157.88 157.52 156.11 155.61 155.31 155.31 155.31 153.09 151.94 151.73 151.65 151.65 151.09 149.94 149.47 149.15 149.22
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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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