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Data:
340.4 343.2 345 346.6 348.7 351.1 352.7 354.8 359.8 364.4 366.2 368.8 369.6 370.6 374.2 378.1 381 383.2 387.3 391.4 395.1 399.1 403 406.3 410.2 413.3 418.4 421.4 422.5 425.5 427.3 430.7 433.2 437.5 439.9 443 445.6 446.2 449.3 453.9 458 461.2 463.7 466 468.3 471.7 474.7 477.3 479.8 482.6 485.6 488.5 492 494.8 498.3 502.1 505.8 511.7 516.6 521.3 526.1 530.4 534.7 538.4 544.6 547.7 551.4 554.3 557.5 560.7 563.8 566.2 567.2 569.3 570.9 573 575.1 578.1 581 584.4
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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
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Big Analytics Cloud Computing Center
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