make.cem: Compute the Community Effect Matrix

In LoopAnalyst: A Collection of Tools to Conduct Levins' Loop Analysis

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)

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.

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}.

Value

A community effect matrix

Author(s)

Alexis Dinno ([e-mail])

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

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

See Also

make.cm.

Examples

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

LoopAnalyst documentation built on June 22, 2024, 11:59 a.m.