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Creates a sparse square matrix with a given sparsity and distribution.
createSparseMatrix( N, sparsity, method = "normal", stationary = FALSE, p = 1, ... )
the dimension of the square matrix
the density of non zero elements
the method used to generate the entries of the matrix. Possible values are "normal" (default) or "bimodal".
"normal"
"bimodal"
should the spectral radius of the matrix be smaller than 1? Possible values are TRUE or FALSE. Default is FALSE.
TRUE
FALSE
normalization constant (used for VAR of order greater than 1, default = 1)
other options for the matrix (you can specify the mean mu_mat and the standard deviation sd_mat).
mu_mat
sd_mat
An NxN sparse matrix.
# NOT RUN { M <- createSparseMatrix( N = 30, sparsity = 0.05, method = "normal", stationary = TRUE ) # }
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