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Data:
369.82 373.1 374.55 375.01 374.81 375.31 375.31 375.39 375.59 376.26 377.18 377.26 377.26 381.87 387.09 387.14 388.78 389.16 389.16 389.42 389.49 388.97 388.97 389.09 389.09 391.76 390.96 391.76 392.8 393.06 393.06 393.26 393.87 394.47 394.57 394.57 394.57 399.57 406.13 407.03 409.46 409.9 409.9 410.14 410.54 410.69 410.79 410.97 410.97 413.8 423.31 423.85 426.6 426.26 426.26 426.32 427.14 427.55 428.29 428.8 428.8 434.87 435.66 440.75 440.99 441.04 441.04 441.88 441.92 442.48 442.81 442.81
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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
2 seconds
R Server
Big Analytics Cloud Computing Center
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