[Numpy-discussion] Return values stats.mstats.linregress

[Gökhan Sever]

Hello,

mstats.linregress returns 6 values. I don't see this documented from
the function docstring. I know 0.91... is r. What is masked_array
return here?

I[29]: stats.mstats.linregress(np.ma.hstack(all_measured[0::6]),
np.ma.hstack(all_predicted[0::6]))
O[29]:
(2.6309756058562122,
 -358.84572340482669,
 0.91388013590912054,
 masked_array(data = 8.93881546632e-73,
             mask = False,
       fill_value = 1e+20)
,
 241.88030264140224,
 8.2881035327089627)

When I run with mstats:

I[30]: stats.linregress(np.ma.hstack(all_measured[0::6]),
np.ma.hstack(all_predicted[0::6]))
O[30]:
(2.5731434548927012,
 -325.98658013998079,
 0.90619871728013224,
 1.4284868970559915e-69,
 0.089246202128717186)

Any idea also why the returned p-value is so large from the mstats
version. Shouldn't p-values lie in between [0,1) ?

Thanks.

-- 
Gökhan