def test_eval_very_convoluted_function_result():
"""
The result of this call is a highly nested data structure.
Have fun on evaluation it!
"""
res = conn.r('x<-1:20; y<-x*2; lm(y~x)')
assert res.__class__ == TaggedList
# check which tags the TaggedList has:
assert res.keys == ['coefficients', 'residuals', 'effects', 'rank',
'fitted.values', 'assign', 'qr', 'df.residual',
'xlevels', 'call', 'terms', 'model']
assert compareArrays(res['coefficients'],
TaggedArray.new(numpy.array([-0., 2.]),
['(Intercept)', 'x']))
def test_eval_very_convoluted_function_result():
"""
The result of this call is a highly nested data structure.
Have fun on evaluation it!
"""
res = conn.r('x<-1:20; y<-x*2; lm(y~x)')
assert res.__class__ == TaggedList
# check which tags the TaggedList has:
assert res.keys == [
'coefficients', 'residuals', 'effects', 'rank', 'fitted.values',
'assign', 'qr', 'df.residual', 'xlevels', 'call', 'terms', 'model'
]
assert compareArrays(
res['coefficients'],
TaggedArray.new(numpy.array([-0., 2.]), ['(Intercept)', 'x']))
def test_tagged_array():
res = conn.r('c(a=1.,b=2.,c=3.)')
exp_res = TaggedArray.new(numpy.array([1., 2., 3.]), ['a', 'b', 'c'])
assert compareArrays(res, exp_res)
assert res.keys() == exp_res.keys() # compare the tags of both arrays
def test_tagged_array():
res = conn.r('c(a=1.,b=2.,c=3.)')
exp_res = TaggedArray.new(numpy.array([1., 2., 3.]), ['a', 'b', 'c'])
assert compareArrays(res, exp_res)
assert res.keys() == exp_res.keys() # compare the tags of both arrays