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Data:
98.71 100.46 100.46 100.67 100.01 100.01 99.99 99.98 99.87 99.91 96.59 96.99 96.68 96.57 96.55 96.78 95.99 97.54 97.45 97.58 97.66 97.67 97.71 98.52 98.87 97.91 97.92 97.97 97.97 97.97 97.58 97.57 96.7 96.72 96.72 96.74 101.2 100.59 100.58 99.62 99.63 99.17 99.17 98.99 98.92 99.52 99.45 99.04 99.23 98.71 98.73 97.1 100.94 100.93 101.02 101.01 100.86 100.56 100.75 100.15 99.49 99.15 99.15 99.14 98.77 98.8 99.29 98.38 98.31 98.24 96.99 96.81
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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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