Permuted Datasets

Permuted Relational-Event Model datasets. Hybrid datasets containing observed events and corresponding 'non-events' generated by the permutation procedure. <b>ptests_perm1</b>: Permuted Relational-Event Model datasets. Hybrid datasets containing observed events and corresponding 'non-events' generated by the permutation procedure. Output of procudure 1 in MK_permutations.R (available from https://github.com/mkings-220920/Cornish-Jackdaws/tree/main/Code/Main scripts). Non-independent permutation of Source and Target labels (see Supplementary Fig. 3a).<b>ptests_perm2_CS</b>: The permutation procedure (see procedure 2 in MK_permutations.R) randomizes sets of 'Target' labels (i.e. datasets are 'conditioned' on "SOURCE" - see Supplementary Table 10 for glossary of REM terminology) within subsets of the dataset (see Supplementary Fig. 3b). 10,000 datasets.<b>ptests_perm4_Duration</b>: Output of procedure four in MK_permutations.R (available from https://github.com/mkings-220920/Cornish-Jackdaws/tree/main/Code/Main scripts). Permutation of edge weights (See Supplementary Fig. 3d), in this case association event duration.<b>ptests_perm4_Latency</b>: Output of procedure four in MK_permutations.R (available from https://github.com/mkings-220920/Cornish-Jackdaws/tree/main/Code/Main scripts). Permutation of edge weights (see Supplementary Fig. 3d), in this case association event arrival latencies.