[Rd] Programming Tools CTV
mxkuhn at gmail.com
Thu Jan 22 18:54:27 CET 2015
On Thu, Jan 22, 2015 at 12:45 PM, Achim Zeileis
<Achim.Zeileis at uibk.ac.at> wrote:
> On Thu, 22 Jan 2015, Max Kuhn wrote:
>> I've had a lot of requests for additions to the reproducible research
>> task view that fall into a grey area (to me at least).
>> For example, roxygen2 is a tool that broadly enable reproducibility
>> but I see it more as a tool for better programming. I'm about to check
>> in a new version of the task view that includes packrat and
>> checkpoint, as they seem closer to reproducible research, but also
>> feel like coding tools.
>> There are a few other packages that many would find useful for better
>> coding: devtools, testthat, lintr, codetools, svTools, rbenchmark,
>> pkgutils, etc.
>> This might be some overlap with the HPC task view. I would think that
>> rJava, Rcpp and the like are better suited there but this is arguable.
>> The last time I proposed something like this, Martin deftly convinced
>> me to be the maintainer. It is probably better for everyone if we
>> avoid that on this occasion.
>> * Does anyone else see the need for this?
>> * What other packages fit into this bin?
>> * Would anyone like to volunteer?
> Max, thanks for the suggestion. We had a somewhat related proposal on R-help
> from Luca Braglia a couple of months ago, suggesting a "Package Development"
> task view:
> He put up some ideas on Github:
> When Luca asked me (ctv maintainer) and Dirk (HPC task view maintainer) for
> feedback off-list, I replied that it is important that task views are
> focused in order to be useful and maintainable. My feeling was that
> "PackageDevelopment" was too broad and also "ProgrammingTools" is still too
> board, I think. This could mean a lot of things/tools to a lot of people.
> But maybe it would be to factor out some aspect that is sharp and clear(er)?
> Or split it up into bits where there are (more or less) objectively clear
> criteria for what goes in and what does not?
It's funny that you said that. As I was updating the RR CTV, it
realized what a beast it is right now. I thought about making a github
project earlier today that would have more detailed examples and
I see two problems with that as the *sole* solution.
First, it is divorced from CRAN CTV and that is a place that people
know and will look. I had no idea of Luca's work for this exact
Secondly, might be intimidating for new R users who, I think, are the
targeted cohort for the CTVs.
How about a relatively broad definition that is succinct in content
with a link to a github repos?
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