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Data:
161.88 161.88 162.05 162.16 162.61 162.53 162.53 162.53 162.53 162.83 161.61 161.79 161.79 161.79 161.79 161.85 161.77 161.86 161.89 161.89 161.89 162.18 162.43 162.58 162.57 162.57 162.57 162.44 162.79 163.15 163.23 163.23 163.23 163.38 163.71 163.73 163.73 163.73 163.73 163.93 164.27 164.57 164.73 164.73 164.76 165.75 165.86 165.99 166.13 166.13 166.13 166.15 166.45 166.48 166.51 166.51 166.51 166.58 166.82 167.35 167.5 167.5 167.6 167.72 167.29 166.98 166.98 166.98 166.98 167.63 167.83 167.85 167.87 167.87 167.96 167.7 169.25 168.79 168.77 168.77 169 168.92 169.23 169.28 169.29 163.93 164.28 164.58 165.97 166.3 166.27 166.27 166.44 166.26 166.64 166.07 166.19
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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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Raw Input
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Raw Output
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Computing time
2 seconds
R Server
Big Analytics Cloud Computing Center
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