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.
8.12.9. nilearn.glm.compute_contrast¶
nilearn.glm.compute_contrast(labels, regression_result, con_val, contrast_type=None)¶Compute the specified contrast given an estimated glm
Parameters: labels : array of shape (n_voxels,),
A map of values on voxels used to identify the corresponding model
regression_result : dict,
With keys corresponding to the different labels values are RegressionResults instances corresponding to the voxels.
con_val : numpy.ndarray of shape (p) or (q, p)
Where q = number of contrast vectors and p = number of regressors.
contrast_type : {None, ‘t’, ‘F’}, optional
Type of the contrast. If None, then defaults to ‘t’ for 1D con_val and ‘F’ for 2D con_val
Returns: con : Contrast instance,
Yields the statistics of the contrast (effects, variance, p-values)
