> Attributes are slightly harder to work with, so Simon's recommendation is
> good advice. But in cases where you want other functions to work with the
> result, and the result isn't a named list with a class, then attributes are
> a convenient way to go.
>
> The only two snags I can think of are
On 12-01-04 3:19 PM, Paul Johnson wrote:
On Tue, Jan 3, 2012 at 3:59 PM, Simon Urbanek
wrote:
Paul,
On Jan 3, 2012, at 3:08 PM, Paul Johnson wrote:
I would like to ask for advice from R experts about the benefits or
dangers of using attr to return information with an object that is
returned
On Tue, Jan 3, 2012 at 3:59 PM, Simon Urbanek
wrote:
> Paul,
>
> On Jan 3, 2012, at 3:08 PM, Paul Johnson wrote:
>
>> I would like to ask for advice from R experts about the benefits or
>> dangers of using attr to return information with an object that is
>> returned from a function. I have a feel
On 04/01/2012 6:59 AM, Manuel López-Ibáñez wrote:
Dear R-devel,
I sent this in December, but I didn't get any answer...
The explanation of the 'type' parameter of plot.default is a bit confusing,
plus the stray closing parenthesis. I suggest the following small change to
match the one given in
Working on the caret package has exposed me to the wide variety of
approaches that different authors have taken to creating predictive
modeling functions (aka machine learning)(aka pattern recognition).
I suspect that many package authors are neophyte R users and are
stumbling through the process
On Wed, Jan 4, 2012 at 4:57 AM, rdxcheena wrote:
> Hi,
>
> I need to understand when is it best to use /rmpi/ and when is it best to
> use /snow/ for parallel programming in R? I understand snow can be used for
> a group of non-clustered work stations also. But I wish to understand from
> the poin
Dear R-devel,
I sent this in December, but I didn't get any answer...
The explanation of the 'type' parameter of plot.default is a bit confusing,
plus the stray closing parenthesis. I suggest the following small change to
match the one given in plot. Feel free to adjust at your convenience.
Hi,
I need to understand when is it best to use /rmpi/ and when is it best to
use /snow/ for parallel programming in R? I understand snow can be used for
a group of non-clustered work stations also. But I wish to understand from
the point of view of using both on clusters for a problem which has f
