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Data:
97.81 97.81 97.34 97.02 96.96 96.89 96.89 96.87 96.63 96.35 96.34 96.39 96.39 96.31 96.28 96.28 96.7 96.66 96.66 96.66 96.72 96.88 96.77 96.74 96.74 96.62 97.04 96.93 96.24 96.21 96.21 96.18 96.2 96.51 96.69 96.77 96.77 96.66 96.75 96.98 96.33 96.37 96.37 96.37 96.44 96.65 97.31 97.41 97.41 97.48 97.29 97.15 97.23 97.15 97.15 97.26 96.99 97.71 97.89 97.81 97.81 97.78 98 98.72 98.85 98.93 98.93 98.95 99.41 99.47 99.57 99.63
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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 Output
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Computing time
2 seconds
R Server
Big Analytics Cloud Computing Center
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