graphpype.nodes.graph_stats.StatsPairTTest(from_file=None, resource_monitor=None, ignore_exception=False, **inputs)[source]¶Compute ttest stats between 2 group of matrix - matrix are arranged in group_cormat, with order (Nx,Ny,Nsubj). Nx = Ny (each matricx is square) - t_test_thresh_fdr is optional (default, 0.05) - paired in indicate if ttest is pairde or not. If paired, both group have the same number of samples
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Methods
aggregate_outputs([runtime, needed_outputs]) |
Collate expected outputs and check for existence |
help([returnhelp]) |
Prints class help |
input_spec |
alias of StatsPairTTestInputSpec |
load_inputs_from_json(json_file[, overwrite]) |
A convenient way to load pre-set inputs from a JSON file. |
output_spec |
alias of StatsPairTTestOutputSpec |
run([cwd, ignore_exception]) |
Execute this interface. |
save_inputs_to_json(json_file) |
A convenient way to save current inputs to a JSON file. |
__init__(from_file=None, resource_monitor=None, ignore_exception=False, **inputs)¶Subclasses must implement __init__
Methods
__init__([from_file, resource_monitor, …]) |
Subclasses must implement __init__ |
aggregate_outputs([runtime, needed_outputs]) |
Collate expected outputs and check for existence |
help([returnhelp]) |
Prints class help |
load_inputs_from_json(json_file[, overwrite]) |
A convenient way to load pre-set inputs from a JSON file. |
run([cwd, ignore_exception]) |
Execute this interface. |
save_inputs_to_json(json_file) |
A convenient way to save current inputs to a JSON file. |
Attributes
always_run |
Should the interface be always run even if the inputs were not changed? Only applies to interfaces being run within a workflow context. |
can_resume |
Defines if the interface can reuse partial results after interruption. |
references_ |
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resource_monitor |
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version |
interfaces should implement a version property |