simulateEigengeneNetwork: Simulate eigengene network from a causal model
Description
Simulates a set of eigengenes (vectors) from a given set of causal anchors and a causal matrix.Usage
simulateEigengeneNetwork(causeMat, anchorIndex, anchorVectors, noise = 1, verbose = 0, indent = 0)
Arguments
causeMat
causal matrix. The entry [i,j] is the influence (path coefficient) of
vector j on vector i.
anchorIndex
specifies the indices of the anchor vectors.
anchorVectors
a matrix giving the actual anchor vectors as columns. Their number must
equal the length of anchorIndex.
noise
standard deviation of the noise added to each simulated vector.
verbose
level of verbosity. 0 means silent.
indent
indentation for diagnostic messages. Zero means no indentation; each unit adds two
spaces.
Value
- A list with the following components:
- eigengenesgenerated eigengenes.
- causeMata copy of the input causal matrix
- levelsuseful 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.
- anchorIndexa copy of the input
anchorIndex.
Details
The algorithm starts with the anchor vectors and iteratively generates the rest from the path
coefficients given in the matrix causeMat.