totalCorMat {EGAnet} | R Documentation |
Total Correlation Matrix
Description
Computes the pairwise total correlation
(totalCor
) for a dataset
Usage
totalCorMat(data, base = 2.718282, normalized = FALSE)
Arguments
data |
Matrix or data frame. Should consist only of variables to be used in the analysis |
base |
Numeric (length = 1).
Base to use for entropy.
Defaults to |
normalized |
Boolean (length = 1).
Should the normalized total correlation be computed?
Defaults to |
Value
Returns a symmetric matrix with pairwise total correlations
Author(s)
Hudson F. Golino <hfg9s at virginia.edu>
References
Formalization of total correlation
Watanabe, S. (1960).
Information theoretical analysis of multivariate correlation.
IBM Journal of Research and Development 4, 66-82.
Applied implementation
Felix, L. M., Mansur-Alves, M., Teles, M., Jamison, L., & Golino, H. (2021).
Longitudinal impact and effects of booster sessions in a cognitive training program for healthy older adults.
Archives of Gerontology and Geriatrics, 94, 104337.
Examples
# Compute total correlation matrix
totalCorMat(wmt2[,7:24])