Graph_stats

Preparing stats and permutations

SwapLists

class neuropype_graph.nodes.graph_stats.SwapLists(from_file=None, **inputs)

Description:

Exchange lists of files in a random fashion (based on seed value) Typically, cor_mat, coords -> 2, or Z_list, node_corres and labels -> 3

If seed = -1, no swap is done (keep original values)

Inputs:

list_of_lists:

• type = List of List of List of Files,
• exists=True,
• desc=’list of all correlation matrice files (in npy format) for each subject’,
• mandatory=True

seed:

type = Int, default = -1, desc=’value for seed’, mandatory=True, usedefault = True

Outputs:

permut_lists_of_lists:

type = List of List of List of Files ,exists=True, desc=’swapped list of all correlation matrice files (in npy format) for each subject’, mandatory=True

ShuffleMatrix

class neuropype_graph.nodes.graph_stats.ShuffleMatrix(from_file=None, **inputs)

Description:

Compute randomisation of matrix, keeping the same distribution

If seed = -1, no shuffling is done (keep original values)

Inputs:

original_matrix_file:

type = File, exists=True, desc=’original matrix in npy format’, mandatory=True

seed:

type = Int, default = -1, desc=’value for seed’, mandatory=True, usedefault = True

Outputs:

shuffled_matrix_file:

type = File, exists=True, desc=’shuffled matrix in npy format’, mandatory=True