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def z_link_func(x, data=mydata): | |
stim = (np.asarray(dmatrix('0 + C(s, [[0], [1]])', | |
{'s': data.stimulus.loc[x.index]})) | |
) | |
# Apply z = (1 - x) to flip them along 0.5 | |
z_flip = stim - x | |
# The above inverts those values we do not want to flip, | |
# so invert them back | |
z_flip[stim == 0] *= -1 | |
return z_flip |
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