Message-ID: <alpine.LFD.2.00.1101251039330.19721@toucan.stats.ox.ac.uk>
Date: 2011-01-25T10:53:19Z
From: Brian Ripley
Subject: Missing argument vs. empty argument
In-Reply-To: <4D3E9793.6040309@cbio.uct.ac.za>
On Tue, 25 Jan 2011, Renaud Gaujoux wrote:
> Hi,
>
> is there an easy, robust, and/or recommended way to distinguish a missing
> argument from an empty argument as in:
An empty argument is a missing argument when argument matching is
done, e.g.
> foo <- function(i,j) match.call()
> foo(i)
foo(i = i)
> foo(i,)
foo(i = i)
> foo(,j)
foo(j = j)
It is rather against the spirit of R to use the actual call rather
than the matched call. Unless you are doing this to write a '['
method I would suggest you find a different convention, e.g.
distinguish f(i) and f(i, NULL). For the exception, look at
`[.data.frame`, which does use nargs().
(NB: what I have said does not apply to primitives like '[' itself,
which do not do standard argument matching.)
>
> foo <- function(i, j){
> print(missing(j))
> print(nargs())
> }
>
> foo(i) # TRUE, 1
> foo(i,) # TRUE, 2
>
> I know I can work around with nargs, the list of arguments and the names of
> the passed arguments, but I wish there is something already in place for
> this.
> This is specially important for '['-like methods where x[i,] is not the same
> as x[i].
> What I am looking for is a function that tells me if an argument has actually
> been passed empty:
>
> foo <- function(i, j, k){
> print( empty.arg(j) )
> print(nargs())
> }
>
> would result in:
>
> foo(i) # FALSE, 1
> foo(i, ) # TRUE, 2
> foo(i, j) # FALSE, 2
> foo(i, k=2) # FALSE, 2
> foo(i, k=2, ) # TRUE, 3
>
> Thank you for any help or pointer.
>
> Bests,
> Renaud
>
>
>
>
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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 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595