[R] Output from the multinom-function

Prof Brian Ripley ripley at stats.ox.ac.uk
Wed Dec 12 12:23:37 CET 2001


multinom is support software for a book, Moderan Applied Statistics with
S-PLUS by Venables & Ripley.  You have read it and understood its
examples, haven't you?

On Wed, 12 Dec 2001, Hoodoo Gooroo wrote:

> Hello folks,
>
> Let me first apologize: I'm not a professional nor a
> mathematician, just an ordinary guy, fooling around
> with the excellent R-package. I know the basic
> principles behind statistics, but haven't read
> anything more advanced than the ordinary first
> probability and statistics courses.
>
> Enough disclaimers? Good! I was examining the
> multinom-function (in the nnet-package) the other day
> and run a couple of tests. This is part of an output I
> got.
>
> multinom(formula = result ~., data = info)
>
> Coefficients:
>    (Intercept) PH          WH
> 1  -0.3974387  0.02201908 -0.0009618038
> 2   2.5183566 -0.07076967 -0.0596189836
>
> The variable result I was trying to predict is a
> nominal variable, taking the values 0, 1 and 2. The
> independent variables are quite a few, some of them
> nominal, some not. I know about regression
> coefficients, intercepts, and all that jazz. I'm not
> sure, though, how I should use the coefficients and
> intercepts I got in the output. Why are there two
> different coefficients per variable? When should I use
> which? How should I interpret the output of the
> regression function? Should the output be rounded to
> the nearest integer, which would happen to be <=0, 1
> or >=2 -> I can decide which the prediction is? Or am
> I missing some fine points in this particular field of
> math I'm (admittedly somewhat blindfolded) messing
> around in?
>
> I'm grateful for any help, or any pointers to good
> sources on the web. I don't have any problems with
> reading theory - it's just that I don't have any
> theory to read!
>
> Thanks a lot in advance,
>
>    Mike
>
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-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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