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Data:
98.36 95.05 93.72 91.33 91.33 90.4 90.59 91.84 91.28 91.11 90.62 91.13 90.97 90.27 91.07 90.46 92.41 94.64 95.56 96.21 96.7 96.12 96.23 96.43 96.36 96.06 96.14 96.19 95.87 95.58 95.29 96.06 94.83 94.88 97.41 97.87 97.89 98.87 98.72 98.17 98.03 98.65 99.28 100.09 101.29 101.95 103.29 103.78 105.79 106.14 106.5 106.89 106.59 106.01 105.91 105.65 104.72 103.42 102.47 99.32 97.71 98.44 96.4 97.44 98.21 97.42 97.44 96.66 94.78 113.29 114.16 115.05
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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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