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GLM problem

3 messages · laurans@roazhon, Brian Ripley, Thomas Lumley

#
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

Martial

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#
On Thu, 21 Jun 2001, laurans at roazhon wrote:

            
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).
#
On Thu, 21 Jun 2001, laurans at roazhon wrote:

            
You are specifying the data= argument as make.link(log). Not surprisingly
this makes R unhappy.

I think you want
   model<-glm(spa~an, family=gaussian(log))


	-thomas

Thomas Lumley			Asst. Professor, Biostatistics
tlumley at u.washington.edu	University of Washington, Seattle
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