| make.T {LoopAnalyst} | R Documentation |
Compute the Absolute Feedback Matrix of a Community Matrix
Description
Validates a community matrix and computes its absolute feedback matrix.
Usage
make.T(CM, status=FALSE)
Arguments
CM |
A valid community matrix. |
status |
Switches on an element-by-element progress indicator when set to |
Details
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.
Value
The absolute feedback matrix for a community matrix
Author(s)
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. |
https://alexisdinno.com/LoopAnalyst/
References
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. <doi:10.2307/3071950>.
Dambacher, J. M., et al. (2003) Qualitative stability and ambiguity in model ecosystems. The American Naturalist, 161(6),876–888. <doi:10.1086/367590>.
See Also
make.cem, make.wfm, make.adjoint and weighted.predictions.
Examples
## compute T for a community matrix
data(cm.dambacher)
make.T(cm.dambacher)