[Rd] forking a CRAN project

2014-03-04 Thread Michael Friendly
There is a CRAN package licensed just as GPL, say, XX, I want to use 
in a book.
But I've needed to modify the package to make it do what I need for 
expository purposes.
The package author(s) are amenable to my modifications, but probably 
unlikely to

incorporate them into the CRAN version any time soon.

Am I allowed, under GPL, to create a new version of the package, say 
XX2, in a
public repository such as R-Forge or github?  I would, of course, 
maintain their
authorship, though perhaps take over the maintainer role.  For my 
purposes in
the book, I don't necessarily need to release my version to CRAN; just a 
public repo

a reader could download from.

-Michael

--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.  Chair, Quantitative Methods
York University  Voice: 416 736-2100 x66249 Fax: 416 736-5814
4700 Keele StreetWeb:   http://www.datavis.ca
Toronto, ONT  M3J 1P3 CANADA

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Re: [Rd] Constructor/extractor.

2014-03-04 Thread Barry Rowlingson
On Tue, Mar 4, 2014 at 1:47 AM, Rolf Turner r.tur...@auckland.ac.nz wrote:



 Questions:
 ==


 (2) Even if there are no such functions, is there anything intrinsically
 *wrong* with having a function possessing this somewhat schizophrenic
 nature?  Is it likely to cause confusion, induce syntactical mistakes,
 create errors, or produce wrong results?

 Any thoughts, comments, insights or suggestions gratefully received.



 I don't see why you can't conceptually think of w = owin(some_ppp_object)
as an owin Constructor rather than an Accessor. Its constructing (and
returning) an owin from an object, it just happens to be as simple as
getting a component from that object.

 The raster package has the 'extent' function - you can create an extent
with extent(xmin,xmax,,,etc), get the extent of a raster with extent(r), or
set the extent of a raster with extent(r1) - extent(r2), so I don't see
any problem with:

w1 = owin(poly=...) # construct polygon owin

ppp1 = ppp(x,y,window=w1)
ppp2 = ppp(x,y, window=owin(ppp1)) # construct window from ppp object

owin(ppp1) = owin(ppp2)  # give ppp1 the owin of ppp2

That all reads pretty nicely. As long as owin(...) returns an observation
window and owin-(...) assigns an observation window to an object that can
validly have one, I don't think you can go wrong. I've probably already
tried to do owin(ppp1)=... a few times...

Barry

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Re: [Rd] forking a CRAN project

2014-03-04 Thread peter dalgaard
As usual: For legal advice, get a lawyer... However, yes, the GPL quite 
expressedly allows licencees to distribute modified versions, provided that the 
modified source code is made available and is redistributable under the GPL. 

It's common courtesy and possibly also required by law (the GPL itself doesn't 
say anything about it) to ensure that the original statements of authorship and 
copyright are retained. 

One thing to be slightly cautious about is to avoid inadvertent copyright 
transfer to your publisher of things that are also in the package. The back 
pages of ISwR (the book) has copies of the help pages for ISwR (the package), 
but Reproduced with permission so that Springer doesn't have the copyright 
for that part of the book. Not that they are likely to care, but better safe 
than sorry.

-Peter D


On 04 Mar 2014, at 16:50 , Michael Friendly frien...@yorku.ca wrote:

 There is a CRAN package licensed just as GPL, say, XX, I want to use in a 
 book.
 But I've needed to modify the package to make it do what I need for 
 expository purposes.
 The package author(s) are amenable to my modifications, but probably unlikely 
 to
 incorporate them into the CRAN version any time soon.
 
 Am I allowed, under GPL, to create a new version of the package, say XX2, in a
 public repository such as R-Forge or github?  I would, of course, maintain 
 their
 authorship, though perhaps take over the maintainer role.  For my purposes in
 the book, I don't necessarily need to release my version to CRAN; just a 
 public repo
 a reader could download from.
 
 -Michael
 
 -- 
 Michael Friendly Email: friendly AT yorku DOT ca
 Professor, Psychology Dept.  Chair, Quantitative Methods
 York University  Voice: 416 736-2100 x66249 Fax: 416 736-5814
 4700 Keele StreetWeb:   http://www.datavis.ca
 Toronto, ONT  M3J 1P3 CANADA
 
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Peter Dalgaard, Professor
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd@cbs.dk  Priv: pda...@gmail.com

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Re: [Rd] [PATCH] suggestions for R-lang manual

2014-03-04 Thread Scott Kostyshak
On Mon, Mar 3, 2014 at 7:48 AM, Martin Maechler
maech...@stat.math.ethz.ch wrote:
 Scott Kostyshak skost...@princeton.edu
 on Thu, 27 Feb 2014 16:43:02 -0500 writes:

  On Thu, Nov 21, 2013 at 1:17 AM, Scott Kostyshak 
 skost...@princeton.edu wrote:
  Attached is a patch with suggestions for the R-lang manual at r64277.
 
  Below are a few comments (some are implemented in the patch):
 
  In the section Objects, there is a table introduced by The
  following table describes the possible values returned by typeof. One
  of the results is any. Can any be returned by typeof() ?

 ANYSXP  is a valid internal type on the C level, and
 src/main/util.c  will make  typeof(ob) return any
 if you can get your hands at an R level object of that type.
 I'd guess you can only get it currently by using .Call() and
 using your own C code, .. but at least that way it must be possible.

Interesting to know.

  Regarding the Recycling rules section,
 
  -One exception is that when adding vectors to matrices, a warning is 
 not
  -given if the lengths are incompatible.
  -@c Is that a bug?
  -
 
  was this a bug that was fixed?

 I did not investigate in details, but yes, I vaguely remember we
 had fixed that.  So indeed, it's fine you omitted the para in
 your patch.

  I see the following behavior:
 
  myvec - 1:3
  mymat - matrix(1:12, ncol=2)
  myvec - 1:5
  myvec + mymat
  [,1] [,2]
  [1,]29
  [2,]4   11
  [3,]6   13
  [4,]8   15
  [5,]   10   12
  [6,]7   14
  Warning message:
  In myvec + mymat :
  longer object length is not a multiple of shorter object length
 
 
  Regarding
 
  -The arguments in the call to the generic are rematched with the
  -arguments for the method using the standard argument matching 
 mechanism.
  -The first argument, i.e.@: the object, will have been evaluated.
  -
 
  this information is duplicated. See a few paragraphs up When the
  method is invoked it is called...

  Scott

 Thank you, Scott.
 Indeed, I've finally carefully looked at the patch, and applied
 it - for R-devel, to become R 3.1.0 in April.

Thanks, Martin!

Scott


--
Scott Kostyshak
Economics PhD Candidate
Princeton University

 Martin


  --
  Scott Kostyshak
  Economics PhD Candidate
  Princeton University

  The patch still applies cleanly (one offset) on r65090.

  Best,
  Scott

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