Learn R Programming

LoopAnalyst (version 1.2-7)

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.

Author

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/

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. <tools:::Rd_expr_doi("10.4159/harvard.9780674435070")>.

See Also

make.cem.

Examples

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

Run the code above in your browser using DataLab