[R] Cleaning things up?

[Roger Koenker]

In Splus, I've found the following function useful for this purpose:

> os <- function(mode = "function", where = 1, long = F)
{
	z <- objects.summary(where = where, mode = "function")
	if(long)
		return(z)
	else return(row.names(z))
}

but it appears that there is no equivalent of objects.summary for R...or
am I wrong about this?



url:	http://www.econ.uiuc.edu		Roger Koenker	
email	roger at ysidro.econ.uiuc.edu		Department of Economics
vox: 	217-333-4558				University of Illinois
fax:   	217-244-6678				Champaign, IL 61820

On Tue, 17 Oct 2000, Yves Gauvreau wrote:

> Ok, that's sounds reasonable for the future. The problem I have is that I
> have close to 500 items returning from length(ls()) many of which are
> function I've created on the fly and they interact with each other. I know
> it's a mess and this the reason for my query, I'd like to clean it up. I
> mean separating functions from other objects (saving them, document them and
> etc.) and do as you suggest for the future.
> 
> So I ask again, is there a way to do that or do I have to do it all by
> "hand" one at a time?
> 
> Yves Gauvreau
> 
> ----- Original Message -----
> From: "Douglas Bates" <bates at stat.wisc.edu>
> To: "Yves Gauvreau" <cyg at sympatico.ca>
> Cc: <r-help at stat.math.ethz.ch>
> Sent: Tuesday, October 17, 2000 9:46 AM
> Subject: Re: [R] Cleaning things up?
> 
> 
> > "Yves Gauvreau" <cyg at sympatico.ca> writes:
> >
> > > I know it must be written somewhere but I can't find it.
> > >
> > > I'd like to remove all variables or objects that I've created but not
> the
> > > functions. I look at a few things without success. Is there a R way of
> doing
> > > this? There are to many to create a manual list.
> >
> > The preferred way to do this is to create a private R package of your
> > functions.  The manual "Writing R Extensions" available in the
> > doc/manual section of the sources and in many of the binary
> > distributions describes how to do this.  It may seem overkill to do
> > this initially but it later becomes a very valuable technique for
> > keeping projects distinct.  It is worth the time spent learning to do
> > this.
> >
> 
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