R help - May 2006 - Error in x[good, ] * w : non-conformable arrays

>From posts in Sep 2004 and Feb 2005, glm() was raising "Error in
x[good, ] * w : non-conformable arrays". I can reproduce this error using:
df1 = data.frame(u=1:10,
                 v=rpois(10,10),
                 z=array(1,10,dimnames=list(1:10)))
glm(v~u+offset(log(z)), data=df1, family=poisson)

-- which seems to be due to the variable z have dimnames. In glm.fit(), the
error is traced to some weight vector w having class "numeric" on the
first iteration and class "array" on the second iteration. Would this
problem be solved by changing "x[good, ] * w" in glm.fit() to
"x[good, ] * as.numeric(w)"?

With kind regards, Mark Clements.

https://stat.ethz.ch/pipermail/r-help/2005-February/066784.html
https://stat.ethz.ch/pipermail/r-help/2004-September/057888.html

Who said that an offset can be an array in glm?  (It can be in other 
contexts).

On Tue, 9 May 2006, Mark Clements wrote:
>> From posts in Sep 2004 and Feb 2005, glm() was raising "Error in
x[good, ] * w : non-conformable arrays". I can reproduce this error using:
Neither of those were using an offset, and the second was using a 
home-brewed family.  I guess the issue was with the weights.
> df1 = data.frame(u=1:10,
>                 v=rpois(10,10),
>                 z=array(1,10,dimnames=list(1:10)))
> glm(v~u+offset(log(z)), data=df1, family=poisson)
>
> -- which seems to be due to the variable z have dimnames.
Rather, having a dim.

In glm.fit(), the error is traced to some weight vector w having class 
"numeric" on the first iteration and class "array" on the
second
iteration. Would this problem be solved by changing "x[good, ] * w" in
glm.fit() to "x[good, ] * as.numeric(w)"?

That's not the place to fix it, and you want as.vector() or drop() rather 
than as.numeric.  It would be more informative to check that the offset(s)
are vectors and numeric.
>
> With kind regards, Mark Clements.
>
> https://stat.ethz.ch/pipermail/r-help/2005-February/066784.html
> https://stat.ethz.ch/pipermail/r-help/2004-September/057888.html
>
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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)
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