[Rd] formulas in variables in modeling functions
Prof Brian Ripley
ripley@stats.ox.ac.uk
Fri, 1 Jun 2001 15:37:23 +0100 (BST)
On Fri, 1 Jun 2001 Setzer.Woodrow@epamail.epa.gov wrote:
> I first noticed this in gnls, but it also happens in lm, so I suspect the
> following phenomenon is universal in modeling functions. Modify the
> example from the lm help:
>
> model <- as.formula(weight ~ group)
> lm(model)
>
> The result will be printed:
>
> > lm(model)
>
> Call:
> lm(formula = model)
> ^^^^^^^^^^^^^^^^^
> Coefficients:
> (Intercept) groupTrt
> 5.032 -0.371
>
> This is because in lm, (where the return value is z) z$call is set to cl,
> and cl <- match.call().
>
> My question is: would it break things to add the line
>
> cl[["formula"]] <- formula
> after
> cl <- match.call()
> ?
It would. Think about how update() works.
What's wrong with
lm(weight ~ group)
or if you need it
eval(substitute(lm(model), model=model))
? There is a difference between capturing the formula or using a
reference to a formula.
--
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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