Meta-programming in R (Advanced Statistical Programming in R Book 3) by Thomas Mailund

Author:Thomas Mailund [Mailund, Thomas]
Language: eng
Format: epub
Published: 2017-02-15T08:00:00+00:00

We can try to sample some lines from the prior distribution and plot them. We can, of course, plot the sample w vectors as points in the plane, but since they represent lines, we will display them as such, see fig. 7.

prior <- prior_distribution(1) (w <- sample_weights(5, prior))

## [,1] [,2] ## [1,] 0.6029080 -0.84085548 ## [2,] 0.4721664 1.38435934 ## [3,] 0.6353713 -1.25549186 ## [4,] 0.2857736 0.07014277 ## [5,] -0.1381082 1.71144087

plot(c(-1, 1), c(-1, 1), type = 'n', xlab = '', ylab = '') plot_lines <- function(w) { for (i in 1:nrow(w)) { abline(a = w[i, 1], b = w[i, 2]) } } plot_lines(w)

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