R help - Sep 2004 - Re: datalist

Hi,

The following is a cut/paste from http://developer.r-project.org/200update.txt:

...

3) When a package is installed, all the data sets are loaded to see
   what they produce.  If this is undesirable (because they are
   enormous, or depend on other packages that need to be installed
   later, ...), add a `datalist' file to the data subdirectory as
   described in `Writing R Extensions'.

...



I only saw a mentioning of 00Index in the description about the data 
subdirectory in Writing R Extensions/Package Subdirectories. Could someone point
me to the right place or tell me what a 'datalist' file is supposed to
be?


Thanks.


JZ

>>>>> "John" == John Zhang <jzhang at
jimmy.harvard.edu>
>>>>>     on Tue, 14 Sep 2004 10:11:15 -0400 (EDT) writes:
    John> Hi,
    John> The following is a cut/paste from
http://developer.r-project.org/200update.txt:

    John> ...

    John> 3) When a package is installed, all the data sets are loaded to see
    John> what they produce.  If this is undesirable (because they are
    John> enormous, or depend on other packages that need to be installed
    John> later, ...), add a `datalist' file to the data subdirectory as
    John> described in `Writing R Extensions'.

    John> ...



    John> I only saw a mentioning of 00Index in the description
    John> about the data subdirectory in Writing R
    John> Extensions/Package Subdirectories. Could someone point
    John> me to the right place or tell me what a 'datalist'
    John> file is supposed to be?

You need "Writing R Extensions" from 'R-devel' aka 
"2.0.0 unstable".
The manuals of the UN-released versions of R, are typically
available from www.R-project.org, [Documentation] -> "Help pages"
which points to http://stat.ethz.ch/R-manual/

But for the sake of it, here is the entry for 'datalist' 
(found very quickly in Emacs Info):

   If your data files are enormous you can speed up installation
   by providing a file `datalist' in the `data' subdirectory.
   This should have one line per topic that `data()' will find,
   in the format `foo' if `data(foo)' provides `foo', or `foo:
   bar bah' if `data(foo)' provides `bar' and `bah'.

Regards,
Martin