Right -- my concerns was that we would use term "Compound" with a real univariate measure (OWA in COWA) differently here... but I guess Compound is too generic  to try binding it to specific meaning indeed.

My other comment though -- (I thought I expressed it but may be not).  For any summary_func with 'axis=[01]' function this should be identical to FxMapper functionality, wouldn't it?
e.g.
```
*(Pydb) ds_ = mean_group_sample(['targets'])(ds)
(Pydb) print ds_.samples
[[ 1.5  2.5  3.5]
 [ 7.5  8.5  9.5]]
(Pydb) ds__ = compound_univariate_mean_measure()(ds)
(Pydb) ds__.samples
array([[ 1.5,  2.5,  3.5],
       [ 7.5,  8.5,  9.5]])
(Pydb) ds_.sa
SampleAttributesCollection(items=[ArrayCollectable(name='x', doc='Sequence attribute', value=array(['2+3', '0+1'], 
      dtype='|S3'), length=2), ArrayCollectable(name='targets', doc='Sequence attribute', value=array([0, 1]), length=2)])
*(Pydb) ds__.sa
SampleAttributesCollection(items=[ArrayCollectable(name='targets', doc='Sequence attribute', value=array([0, 1]), length=2)])
```
so why do we need two functions providing the same functionality?