Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
3.3.3. nistats.design_matrix.make_second_level_design_matrix¶
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nistats.design_matrix.make_second_level_design_matrix(subjects_label, confounds=None)¶ Sets up a second level design.
Construct a design matrix with an intercept and subject specific confounds.
- Parameters
- subjects_label: list of str
Contain subject labels to extract confounders in the right order, corresponding with the images, to create the design matrix.
- confounds: pandas DataFrame, optional
If given, contains at least two columns, ‘subject_label’ and one confound. The subjects list determines the rows to extract from confounds thanks to its ‘subject_label’ column. All subjects must have confounds specified. There should be only one row per subject.
- Returns
- design_matrix: pandas DataFrame
The second level design matrix
