Simulates a set of eigengenes (vectors) from a given set of causal anchors and a causal matrix.
simulateEigengeneNetwork(
causeMat,
anchorIndex, anchorVectors,
noise = 1,
verbose = 0, indent = 0)causal matrix. The entry [i,j] is the influence (path coefficient) of
vector j on vector i.
specifies the indices of the anchor vectors.
a matrix giving the actual anchor vectors as columns. Their number must
equal the length of anchorIndex.
standard deviation of the noise added to each simulated vector.
level of verbosity. 0 means silent.
indentation for diagnostic messages. Zero means no indentation; each unit adds two spaces.
A list with the following components:
generated eigengenes.
a copy of the input causal matrix
useful for debugging. A vector with one entry for each eigengene giving the number of generations of parents of the eigengene. Anchors have level 0, their direct causal children have level 1 etc.
a copy of the input anchorIndex.
The algorithm starts with the anchor vectors and iteratively generates the rest from the path
coefficients given in the matrix causeMat.