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Data:
340.7 343.5 345.3 346.9 349 351.4 353 355 360.1 364.7 366.5 369 369.9 370.8 374.5 378.4 381.3 383.5 387.6 391.7 395.4 399.3 403.3 406.6 410.5 413.5 418.7 421.7 422.8 425.8 427.6 431 434.3 437.6 440.4 443.5 446.2 446.2 449.7 454.2 458.4 461.1 464 466.2 468.7 471.8 474.9 477.5 480 482.8 485.7 488.5 492 495.1 498.5 502.2 502.1 510 515 520.4 525.2 530.1 534.5 538.5 544.4 548.4 551.9 554.9 558.1 561.3 564.4 567 568.7 570.9 572.5 574.6 577.1 580.9 583.3 586.5
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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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