On Mon, 19-Jan-2004 at 06:36PM +0100, Peter Dalgaard wrote:

|> "[EMAIL PROTECTED]" <[EMAIL PROTECTED]> writes:
|> 
|> > As an absolute beginner, still reading "Modern Applied Statistics
|> > with S" and exercising with its examples, I'm frequently stopped
|> > by what it looks to be R poor help system (or is it my gigantic
|> > ignorance?). I mean that using help many arguments of a command
|> > seems to be given for granted like for instance:
|> > ...............................
|> > ?lines
|> >  lines(x, ...)
|> > 
|> >      ## Default S3 method:
|> >      lines(x, y = NULL, type = "l", col = par("col"),
|> >            lty = par("lty"), ...)
|> > 
|> > Arguments:
|> > 
|> >     x, y: coordinate vectors of points to join.
|> > 
|> >     type: character indicating the type of plotting; actually any of
|> >           the 'type's as in 'plot'.
|> > 
|> >      col: color to use. This can be vector of length greater than one,
|> >           but only the first value will be used.
|> > 
|> >      lty: line type to use.
|> > 
|> >      ...: Further graphical parameters (see 'par') may also be supplied
|> >           as arguments, particularly, line type, 'lty' and line width,
|> >           'lwd'.
|> > ................................
|> > 
|> > How could I quickly know during an R-session what values should be "col" set to 
have red, how could I set "lty" etc.?
|> 
|> Well, you might take a hint and look at ?par, in which this is in fact 
|> explained. The above text is not saying that very explicitly, I agree. 

... that hint being given a little further down the help for lines,
where it says:


See Also:

     'points', 'plot', and the underlying "primitive" 'plot.xy'.

     'par' for how to specify colors.


I can't think of a way that makes it easier to get to than that.


|> 
|> However, it could be a good idea if we found a nice way of
|> integrating this sort of tabular material in the help system. The
|> case that really annoys me is that to get at the vaᅵues for 'pch',
|> you need to run example(points), which is both nonobvious and
|> disruptive if you are in the middle of constructing a complex plot
|> command.

Even in that case, it's not a big deal to run a separate R session in
another workspace (or even better, viewport in the pre-Gnome2 days)
where such ancillary tasks can run.  There are OS limitations, of
course. 


-- 
Patrick Connolly
HortResearch
Mt Albert
Auckland
New Zealand 
Ph: +64-9 815 4200 x 7188
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I have the world`s largest collection of seashells. I keep it on all
the beaches of the world ... Perhaps you`ve seen it.  ---Steven Wright 
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