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Data:
95.77 97.63 100.87 100.39 98.62 97.42 95.62 97.22 97.56 97.06 97.68 98.18 98.54 98.24 98.1 96.32 96.15 96.67 94.7 93.94 96.69 96.54 95.94 95.6 99.15 100.33 99.86 96.09 94.42 93.85 93.73 94.63 95.54 95.48 95.84 96.29 97.63 98.8 99.84 100.73 100.44 100.54 100.25 100.29 100.7 100.62 100.43 99.73 99.17 98.9 98.94 98.91 99.5 99.52 99.1 99.12 99 98.66 98.3 98.18 97.95 97.84 98.61 99.54 99.64 99.69 99.77 99.85 99.87 100.23 100.46 100.36
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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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