Re: [R] GLM problem

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From: Prof Brian Ripley (ripley@stats.ox.ac.uk)
Date: Fri 22 Jun 2001 - 02:47:14 EST 

Message-ID: <Pine.LNX.4.31.0106211742110.1161-100000@gannet.stats>

On Thu, 21 Jun 2001, laurans@roazhon wrote:

> When I add the following instruction : make.link(log) I have an error
> that I don't understand.
>
> model<-glm(spa~an, family=gaussian, make.link(log))
> error in as.vector(x, "double"): cannot coerce to vector)
>
> If someone can help, thanks

Something certainly could. It's the help page which says

Arguments:

    link: character or numeric; one of `"logit"', `"probit"',
          `"cloglog"', `"identity"', `"log"', `"sqrt"', `"1/mu^2"',
          `"inverse"', or number, say lambda resulting in power link mu
          ^ lambda.

log is a function: I think you meant make.link("log"). However, that
is not the only error: I believe you meant

model <- glm(spa ~ an, family=gaussian("log"))

The fourth argument of glm is `data'. (In this case you will get away
with gaussian(log). 

-- 
Brian D. Ripley,                  ripley@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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