def output_F(outfile, contrast, fmri_image, clobber=False):
''' output F statistic images
Parameters
----------
outfile : str
filename for F contrast image
contrast : array
F contrast matrix
fmri_image : ``FmriImageList`` or ``Image``
object such that ``object[0]`` has attributes ``shape`` and
``coordmap``
clobber : bool
if True, overwrites previous output; if False, raises error
Returns
-------
f_reg_out : ``RegressionOutput`` instance
Object that can a) be called with a results instance as argument,
returning an array, and b) accept the output array for storing, via
``obj[slice_spec] = arr`` type slicing.
'''
f = ModelOutputImage(outfile, fmri_image[0].coordmap, fmri_image[0].shape,
clobber=clobber)
return regression.RegressionOutput(f, lambda x:
regression.output_F(x, contrast))
def output_F(outfile, contrast, fmri_image, clobber=False):
''' output F
Parameters
----------
outfile :
contrast :
fmri_image : ``FmriImageList``
object such that ``object[0]`` has attributes ``shape`` and
``coordmap``
clobber : bool
if True, overwrites previous output; if False, raises error
'''
f = ModelOutputImage(outfile, fmri_image[0].coordmap, fmri_image[0].shape,
clobber=clobber)
return regression.RegressionOutput(f, lambda x:
regression.output_F(x, contrast))
