cem.corr {LoopAnalyst} | R Documentation |
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 (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
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. <doi:10.4159/harvard.9780674435070>.
See Also
Examples
## compute tables of correlations
data(cm.levins)
cem <- make.cem(cm.levins)
cem.corr(cem)