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Data:
96.86 96.77 96.5 96.01 96.07 95.93 95.93 95.83 96.24 96.25 96.59 96.62 96.62 96.81 96.71 96.45 96.63 96.56 96.56 96.65 97.04 97.14 97.2 97.26 97.26 97.24 97.35 97.36 97.28 97.31 97.31 97.31 97.23 97.78 97.64 97.68 97.68 97.81 97.75 97.63 97.6 97.65 97.65 97.65 97.86 98.41 98.79 98.75 98.74 98.55 98.65 98.86 98.94 99.05 99.05 99.05 99.17 98.99 98.91 98.89 98.89 98.72 98.89 98.97 99.16 99.54 99.54 99.55 100.01 99.52 99.44 99.39 99.39 99.4 100.43 100.62 101.05 100.95 100.95 100.91 101.13 100.81 100.47 100.56
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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
1 seconds
R Server
Big Analytics Cloud Computing Center
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