R/generate_values.R
generate_halton_random_set.Rd
Generate a set of values from a seeded Halton set.
generate_halton_random_set(n, dim, seed = 0)
The number of values (per dimension) to extract.
The number of dimensions of the sequence.
Default `0`. The random seed.
An `n` x `dim` matrix listing all the
#Generate a 2D sample:
points2d = generate_halton_random_set(n=1000, dim=2)
plot(points2d)
#Change the seed and extract a separate pair of dimensions
points2d = generate_halton_random_set(n=1000, dim=10,seed=2)
plot(points2d[,5:6])
#Integrate the value of pi by counting the number of randomly generated points that fall
#within the unit circle.
pointset = matrix(generate_halton_random_set(10000,dim=2),ncol=2)
pi_estimate = 4*sum(pointset[,1] * pointset[,1] + pointset[,2] * pointset[,2] < 1)/10000
pi_estimate
#> [1] 3.1448