cem.corr: Compute the Tables of Correlations for a Community Effect...

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

Compute the Tables of Correlations for a Community Effect matrix

Description

Validates a community effect matrix and computes its associated tables of correlations.

Usage

cem.corr(CEM)

Arguments

CEM	A valid community effect matrix.

Details

The supplied matrix is validated as a community effect matrix, and the table of predicted correlations is computed. Output is formatted as per Puccia and Levins, 1986 (see page 57) and correlations are represented as "-", "0", "+", and "?" for negative correlation, no correlation, positive correlation,and ambiguous correlation, respectively.

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. pp 55-59. <\Sexpr[results=rd]{tools:::Rd_expr_doi("10.4159/harvard.9780674435070")}>.

See Also

make.cem.

Examples

## compute tables of correlations
data(cm.levins)
cem <- make.cem(cm.levins)
cem.corr(cem)

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