Validates a community matrix and computes its absolute feedback matrix.
make.T(CM, status=FALSE)The absolute feedback matrix for a community matrix
A valid community matrix.
Switches on an element-by-element progress indicator when set to TRUE. Set to FALSE by default.
Alexis Dinno (alexis.dinno@pdx.edu)
Please contact me with any questions, bug reports or suggestions for improvement. Fixing bugs will be facilitated by sending along:
| [1] | a copy of your relevant R data file (de-labeled or anonymized is fine), |
| [2] | a copy of the command syntax used, and |
| [3] | a copy of the exact output of the command. |
The supplied matrix is validated as a community matrix, and its absolute feedback matrix is computed. The value of a given element indicates the total number of disjoint cycles spanning all varibles of the complementary subsystem for each path from j to i. Values of a given element may be positive or zero, and bounds the magnitude of the associated adjoint matrix of the negative community matrix.
NOTE: weighted feedback, adjoint and absolute feeback matrices are transposed relative to the community effect matrix.
Dambacher, J. M. and Li, H. W. and Rossignol, P. A. (2002) Relevance of community structure in assessing indeterminacy of ecological predictions. Ecology, 83(5),1372--1385. <tools:::Rd_expr_doi("10.2307/3071950")>.
Dambacher, J. M., et al. (2003) Qualitative stability and ambiguity in model ecosystems. The American Naturalist, 161(6),876--888. <tools:::Rd_expr_doi("10.1086/367590")>.
make.cem, make.wfm, make.adjoint and weighted.predictions.
## compute T for a community matrix
data(cm.dambacher)
make.T(cm.dambacher)
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