We'd be more than happy to have you contribute directly. The goal is not just an
information session, but to get some movement to ways to make the package
collection(s)
easier to use effectively. Note to selves: "effectively" is important -- we
could make
things easy by only recommending a few packages.
Best, JN
On 2017-02-10 09:29 AM, Michael Dewey wrote:
Dear all
That seems an interesting session. I am the maintainer of one of the CRAN Task
Views (MetaAnalysis) and will attend
unless I am successful in the draw for Wimbledon tickets.
Just in case I strike lucky one question I would have raised from the floor if I
were there would have been "Does anyone
read the Task Views?". Since I started mine I have received only a couple of
suggestions for additions including a very
abrupt one about a package which had been included for months but whose author
clearly did not read before writing. So I
would ask whether we need to focus much energy on the Task Views.
So, maybe see you there, maybe not.
On 16/01/2017 14:57, ProfJCNash wrote:
Navigating the Jungle of R Packages
The R ecosystem has many packages in various collections,
especially CRAN, Bioconductor, and GitHub. While this
richness of choice speaks to the popularity and
importance of R, the large number of contributed packages
makes it difficult for users to find appropriate tools for
their work.
A session on this subject has been approved for UseR! in
Brussels. The tentative structure is three short
introductory presentations, followed by discussion or
planning work to improve the tools available to help
users find the best R package and function for their needs.
The currently proposed topics are
- wrapper packages that allow diverse tools that perform
similar functions to be accessed by unified calls
- collaborative mechanisms to create and update Task Views
- search and sort tools to find packages.
At the time of writing we have tentative presenters for
the topics, but welcome others. We hope these presentations
at useR! 2017 will be part of a larger discussion that will
contribute to an increased team effort after the conference
to improve the the support for R users in these areas.
John Nash, Julia Silge, Spencer Graves
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