Use this if you are using igraph from R
Sample finite-dimensional vectors to use as latent position vectors in random dot product graphs
sample_dirichlet(n, alpha)
n |
Integer scalar, the sample size. |
alpha |
Numeric vector, the vector of alpha parameter for the Dirichlet distribution. |
sample_dirichlet
generates samples from the Dirichlet distribution
with given alpha parameter. The sample is drawn from
length(alpha)-1
-simplex.
A dim
(length of the alpha
vector for
sample_dirichlet
) times n
matrix, whose columns are the sample
vectors.
Other latent position vector samplers:
sample_sphere_surface()
,
sample_sphere_volume()
lpvs.dir <- sample_dirichlet(n=20, alpha=rep(1, 10)) RDP.graph.2 <- sample_dot_product(lpvs.dir) colSums(lpvs.dir)