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Data:
89.65 90.65 89.34 89.15 88.82 88.82 91.97 93.01 93.24 93.2 93.19 92.2 93.39 94.75 94.25 94.37 94.02 92.77 92.64 93.19 92.74 92.52 92.25 91.6 93.73 96.21 96.36 95.69 95.07 95.5 95.22 97.41 98.31 98.54 98.45 98.03 101.45 102.44 102.42 100.98 100.69 100.28 98.06 97.37 97.25 98.93 100.04 100.09 100.79 99.76 99.63 99.26 99.69 99.17 98.79 97.97 98.1 97.91 97.16 96.8 97.46 96.59 96.35 96.12 96.16 95.95 96.06 95.89 95.9 95.82 95.54 95.51
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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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