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Data:
99.13 100.46 101.83 100.82 100.99 99.11 98.99 99.8 100.3 101.56 98.83 101.29 98.24 98.37 99.68 97.8 98.34 98.06 97.19 99.44 99.04 100.81 98.49 101.03 98.59 101.07 99.28 101.65 100.59 101.84 100.27 100.04 97.78 97.59 97.68 100.56 98.9 100.08 101.7 100.9 100.67 100.51 100.01 99.8 97.7 98.14 101.77 99.82 100.03 101.83 98.25 99.88 98.96 98.37 97.52 99.59 97.99 100.68 100.39 99.31 96.93 102.06 97.9 102.29 100.55 100.77 100.68 100.75 100.21 99.85 100.59 101.45
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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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Computing time
2 seconds
R Server
Big Analytics Cloud Computing Center
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