[R] illustration of graphics terms in R?
ripley@stats.ox.ac.uk
ripley at stats.ox.ac.uk
Sun Nov 24 22:07:22 CET 2002
There are figures in the PDF/DVI versions of `An Introduction to R' and in
Venables & Ripley (any edition of MASS).
If you missed `An Introduction to R' you really should look at it.
I don't think end users even need to know about `normalized device
coordinates'.
I am not entirely sure why the HTML version of `An Introduction to R'
lacks the figures: probably limitations of makeinfo.
On Sun, 24 Nov 2002, Tom Arnold wrote:
> Hello,
> I'm using R to do survey analysis and plotting. I've gotten good help on this
> list to sort out specific plotting issues, but I think I could do a lot more
> on my own if I could find a good reference that explained some of the graphics
> terms and concepts used by R. I haven't found a general discussion of the
> graphics environment, with illustrations. Part of my problem is that the help
> text is all text. There are no figures to illustrate the terms used. For
> example, I would like to be able to *see* the relationship of these concepts
> illustrated:
>
> figure region
> device region
> plot region
> user coordinates
> normalized device coordinates
> margin
> outer margin
>
> Also, there are a number of par settings that apparently work on the same
> underlying data but using different units. For example, oma, omi, omd; mai and
> mar. The documentation for "mar" says: "A numerical vector of the form
> 'c(bottom, left, top, right)' which gives the lines of margin to be specified
> on the four sides of the plot..." After some experimentation I found that csi
> * mar = mai, so I guess mar is "lines of text" of size "csi". But all this
> could be much better illustrated if it were... illustrated.
>
> If there is no such introduction with diagrams to show the relation of the
> different par values, I suppose I could start to create one, but could
> certainly use help, if only in editing, from someone who actually *knows* how
> this stuff works.
>
> Thanks for whatever guidance you may be able to offer.
> -Tom
>
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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 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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