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Data:
10670.5 11129 13474.5 12317.8 11990.1 13478.3 11762.4 11149.1 13597.2 13367.9 13304.2 12407.2 13008.3 13379.5 15696 13529.6 14857 14375.1 12958.4 12612.8 14405.2 13655.8 13783.1 12336.1 13366.7 14042.4 15412 13566.5 13981.5 14042 13131 12771.2 13600.1 14886.9 13813.1 11551 13750.5 13415.4 15040.9 14349.5 13900.2 13956.6 13951 11802.1 14219.1 14914.5 14098.2 12773.6 14225 13513 14754.4 14447.7 13777.8 14328.6 14106.1 12157 15425.1 15448.8 13604.5 12269.3
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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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1 seconds
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Big Analytics Cloud Computing Center
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