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Data:
92.8 92.9 93.06 93.28 93.41 93.49 93.49 93.5 93.56 94.12 94.3 94.36 94.36 94.5 94.85 95.16 95.73 95.76 95.76 95.81 96.09 96.48 96.71 96.69 96.69 96.66 96.73 96.84 97.87 98 97.98 98.03 98.11 98.18 98.32 98.34 98.28 98.52 98.56 99.6 100.16 100.46 100.46 100.68 100.83 100.64 100.9 100.92 100.75 100.96 101.05 101.33 101.38 101.44 101.51 101.4 101.26 100.83 100.75 100.81 100.82 100.85 100.79 100.84 101.04 101.11 101.15 101.11 101.28 101.62 102.07 102.14
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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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