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LoopAnalyst (version 1.0-4)

cem.corr: 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.

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

See Also

make.cem.

Examples

Run this code
## compute tables of correlations
data(community.matrix)
cem <- make.cem(community.matrix)
cem.corr(cem)

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