LoopAnalyst (version 1.2-7)

make.cem: Compute the Community Effect Matrix

Description

Validates and community matrix and computes its associated community effect matrix.

Usage

make.cem(CM, status=FALSE, out=FALSE)

Value

A community effect matrix

Arguments

CM

A valid community matrix.

status

Switches on an element-by-element progress indicator when set to TRUE. Set to FALSE by default.

out

Switches on formatting of community effect matrix element output from "-1", "0", "1", "NA" to "-", "0", "+", and "?" respectively when set to TRUE. Set to FALSE by default.

Author

Alexis Dinno ()

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/

Details

The supplied matrix is validated as a community matrix, and the community effect matrix (i.e. table of predictions) is computed. Ambiguous effects are represented by link{NA}.

References

Puccia, C. J. and Levins, R. (1986) Qualitative Modeling of Complex Systems: An Introduction to Loop Analysis and Time Averaging. Cambridge: Harvard University Press. <tools:::Rd_expr_doi("10.4159/harvard.9780674435070")>.

See Also

make.cm.

Examples

## compute community effect matrix
data(cm.levins)
make.cem(cm.levins)