Description Usage Arguments Details Value Examples
View source: R/initialization.R
Same function whatever directed or undirected case
1  tauInitial(data, n, Q, d_part, n_perturb, perc_perturb, n_random, directed)

data 
Data : only needs the N_{ijk} field of data 
n 
Total number of nodes 
Q 
Total number of groups 
d_part 
Maximal level for finest partitions of time interval [0,T], used for kmeans initializations.

n_perturb 
Number of different perturbations on kmeans result 
perc_perturb 
Percentage of labels that are to be perturbed (= randomly switched) 
n_random 
Number of completely random initial points. If not zero there will be n_random taus uniformly sampled in the initialization. 
directed 
Boolean for directed (TRUE) or undirected (FALSE) case 
The (maximal) total number of initializations is d_{part}*(1+n_{perturb}) + n_{random}
List of matrixes of initial values for τ
1 2 3 4 5 6 7 8 9 10 11 12 13 14  # Generate initial tau for generated_Q3 data
n < 50
Dmax < 2^3
Q < 3
d_part < 1 # less than 3 (owing to Dmax)
n_perturb < 2
perc_perturb < 0.2
n_random < 1
directed < FALSE
data < list(Nijk = statistics(generated_Q3$data, n, Dmax, directed = FALSE))
tau < tauInitial(data,n,Q,d_part,n_perturb,perc_perturb,n_random,directed)

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