def converges(mat):
np.save("mat2par.npy", mat2par(mat))
ph = np.concatenate([phenotypes(i) for i in mat2par(mat)])
np.save("ph.npy", ph)
fail = [np.isnan(i.item()).all() for i in ph]
result = np.logical_not(fail).astype(float)
return py2ri(result)
def fun(rmatrix):
"""Scalar function for use with R's sensitivity::morris()."""
ph = np.concatenate([phenotypes(i) for i in mat2par(rmatrix)])
return py2ri(ph[field])
def appeak(mat):
ph = np.concatenate([phenotypes(i) for i in mat2par(mat)])
result = ph["appeak"]
result[np.isnan(result)] = 0
return py2ri(result)
