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Data:
115.6 118.5 118.1 117.7 117.9 118.5 117 115.6 113.7 112.1 113.5 113.5 112.2 112.7 111.9 111.5 110.8 111.2 110.9 114.1 121.3 121.5 122.5 122.4 122.5 122.8 122.9 123.6 123.4 122.9 121 119 119 114.3 113.4 113.7 113.5 114.4 114.6 111.6 111.8 110.8 112.6 115.3 115.4 115.3 115.5 115 116.3 117 116.9 117.2 117.1 116.7 117.4 126.7 128.6 129.2 131.1 131.1 131.5 133.2 133.7 135.7 134.9 135.7 131.2 127.4 127.5 124.1 124.1 124.1 124.5 123.7 125.9 126 125.5 125.3
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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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