R-alpha: Version 0.5 ...

Ross Ihaka (ihaka@stat.auckland.ac.nz)
Mon, 13 May 1996 16:50:59 +1200


Date: Mon, 13 May 1996 16:50:59 +1200
From: Ross Ihaka <ihaka@stat.auckland.ac.nz>
Message-Id: <199605130450.QAA16531@stat.auckland.ac.nz>
To: R-testers@stat.math.ethz.ch
Subject: R-alpha: Version 0.5 ...

... is finally available.  Both a full distribution and context diffs
against version 0.4 are available for anon ftp from:

	ftp://stat.auckland.ac.nz/pub/R

The distribution has been compiled and rigorously tested (and if you
believe that, there is a big gray bridge in Auckland which I can get
you a real deal on :-) on the following platforms.

	Intel 486 - FreeBSD 2.1R
	Sparcstation 10/51 - SunOS 4.1.4
	SGI Indy - Irix 5.3
	DEC Alpha - Digital UNIX V3.2C

The major new features are:

  1.  New sys.xxxx functions which we hope mimic the behaviour of S.

  2.  New debugging support.  See the manual entry for "debug/undebug"
      and "trace/untrace" for details.

  3.  Data frames are now implemented as objects -- i.e. a list with
      a class attribute of "data.frame".

  4.  Fix for manual directory creation during build.

  5.  Manual and manual documentation changes from Martin Maechler.

  6.  There is now a full complement of R_alloc/S_alloc/call_R/call_S
      entry points.

  7.  Graphics cleaned up somewhat.

  8.  Contour plotting added.  (No contour labelling yet).

  9.  Dynloading patch for HP-UX from Mike Meyer incorporated.

 10. Many smaller bug fixes. (We hope all reported bugs are fixed now).


In addition the on-line (nroff and html) documentation has had a major
cleanup.  We are structuring the documentation as follows.  Generic
functions and their default methods (if any) are documented in their
own file.  Class methods for generics are documented in the files for
the functions which instantiate objects of that class.

To see the effect of this take a look at the entries for lm and glm.
Please let us know if you think this is a bad idea.


We have also started a data library for use with R.  This is currently
undocumented, but has a simple interface.

	data.index()	show an index of the available documentation.
	data.doc(iris)	show the documentation for the iris data set
	data(iris)	load the iris data set

The documentation for the data sets is in a very preliminary state
(some might say virtually non-existent).  Most of the data sets
entered so far are taken from:

	"Interactive Data Analysis" by Don McNeil

which in turn borrowed heavily from:

	"Exploratory Data Analysis" by John Tukey.

(Do any web lawyers know what trouble we might be getting into by
making these data sets available?)


There is also a version of a port of (a somewhat older version of) R
to Windows available in the windows subdirectory.

	Later
	Ross + Robert
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