synchr.classify: Categorizes cross-corrrelations to reflect synchrony style.
In MalloryJfeldman/synchr: Dyadic Synchrony Analysis
View source: R/synchr.classify.R
Description
synchr.classify uses correlation coefficients across lag-1, lag0, and lag1 to categorize dyads as either "mutual adaptors", "leader-follower", or "leader-leader."
Usage
1
synchr.classify(corr_data_list, threshold = 0.1)
Arguments
corr_data_list,
list containing one coefficient per dyad at lag-1, lag0, and lag1.
threshold,
Threshold for what constitutes a "significant" correlation coefficient. Default is 0.10.
MalloryJfeldman/synchr documentation built on May 7, 2020, 9:38 p.m.
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View source: R/synchr.classify.R
Description
synchr.classify uses correlation coefficients across lag-1, lag0, and lag1 to categorize dyads as either "mutual adaptors", "leader-follower", or "leader-leader."
Usage
1 | synchr.classify(corr_data_list, threshold = 0.1)
|
Arguments
corr_data_list, |
list containing one coefficient per dyad at lag-1, lag0, and lag1. |
threshold, |
Threshold for what constitutes a "significant" correlation coefficient. Default is 0.10. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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