On 28Aug2014 17:41, Alan Gauld <alan.ga...@btinternet.com> wrote:
On 28/08/14 12:20, Shakoor Hajat wrote:
I would very much appreciate any help with the following query:
I am running a regression analysis in Python using statsmodels and wish
to obtain the combined effect of a number of the explanatory variables
in the model. I could simply sum the individual coefficients to obtain
my effect estimate but this wouldn't work for the standard errors due to
covariance. Is there a straightforward way in statsmodels to derive the
linear combination of coefficients?
This list is for people learning the basic python language and
standard library. This question looks a tad advanced for that
audience. In fact I suspect that many(most?) of the folks on
this list (including me) have only a hazy idea what you are
talking about in your post.
However there are some data analysts amongst us so they may
be able to help.
If we knew what toolkits you were using to do the analysis we
might be able to suggest a better forum? eg numpy, RPy or pandas?
Also what version of Python you had( 2 or 3?).
It looks like he's using this:
http://statsmodels.sourceforge.net/
Works in python 2 and 3, but does not seem to have a dedicated mailing list.
Shakoor, if you get no responses here, ask again on python-list: I know there
are some statistics and floating point savvy people there.
Cheers,
Cameron Simpson <c...@zip.com.au>
To be positive: To be mistaken at the top of one's voice.
Ambrose Bierce (1842-1914), U.S. author. The Devil's Dictionary (1881-1906).
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