dCor {NetworkToolbox} | R Documentation |
Distance Correlation for ROI Time Series
Description
Computes the distance correlation (Yoo et al., 2019) for
ROI time series data. This function is mainly a subroutine for the
dCor.parallel
function
Usage
dCor(neurallist, centering = c("U", "double"))
Arguments
neurallist |
List.
A time series list from |
centering |
Character. Options for centering the Euclidean distances.
|
Value
Returns a m x m matrix corresponding to distance correlations between ROIs
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
References
Yoo, K., Rosenberg, M. D., Noble, S., Scheinost, D., Constable, R. T., & Chun, M. M. (2019). Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors. NeuroImage, 197, 212-223.
Examples
## Not run:
# Import time series data
neurallist <- convertConnBrainMat()
# Run distance correlation
dCor(neurallist)
## End(Not run)
[Package NetworkToolbox version 1.4.2 Index]