Generates an incidence matrix with row and column sums that follow given distributions
Generates an incidence matrix with row and column sums that follow given distributions
incidence.from.distribution generates a random incidence matrix with row and column sums that approximately follow beta distributions with given parameters.
rowdist: vector length 2: Row marginals will approximately follow a Beta(a,b) distribution
coldist: vector length 2: Column marginals will approximately follow a Beta(a,b) distribution
class: string: the class of the returned backbone graph, one of c("matrix", "Matrix", "igraph").
narrative: boolean: TRUE if suggested text & citations should be displayed.
Returns
An incidence matrix of class matrix or Matrix, or a bipartite graph of class igraph.
Examples
I <- incidence.from.distribution(R =100, C =100, P =0.1, rowdist = c(10000,10000), coldist = c(10000,10000))#ConstantI <- incidence.from.distribution(R =100, C =100, P =0.1, rowdist = c(1,1), coldist = c(1,1))#UniformI <- incidence.from.distribution(R =100, C =100, P =0.1, rowdist = c(1,10), coldist = c(1,10))#Right-tailedI <- incidence.from.distribution(R =100, C =100, P =0.1, rowdist = c(10,1), coldist = c(10,1))#Left-tailedI <- incidence.from.distribution(R =100, C =100, P =0.1, rowdist = c(10,10), coldist = c(10,10), narrative =TRUE)#Normal
References
Neal, Z. P., Domagalski, R., and Sagan, B. 2021. Comparing alternatives to the fixed degree sequence model for extracting the backbone of bipartite projections. Scientific Reports, 11, 23929. tools:::Rd_expr_doi("10.1038/s41598-021-03238-3")
Neal, Z. P. 2022. incidentally: An R package to generate incidence matrices and bipartite graphs. OSF Preprints tools:::Rd_expr_doi("10.31219/osf.io/ectms")