As a way to organize discussion for the session AND for the hopefully
derivative development, I have set up a Github project
https://github.com/nashjc/Rnavpkg
In particular, I've started a small wiki therein, and especially have built a page "Ideas and people" where I have tried
to summari
On 11 February 2017 at 16:41, Ben Bolker wrote:
| I don't have a problem with this, but there are a few challenges.
|
| - continuity: there used to be an R wiki, but it eventually disappeared
| (http://wiki.r-project.org now redirects to the main www.r-project.org page)
Quite right.
| - act
I don't have a problem with this, but there are a few challenges.
- continuity: there used to be an R wiki, but it eventually disappeared
(http://wiki.r-project.org now redirects to the main www.r-project.org page)
- actual contributions: I never got much feedback or contributions to
http://g
Hello,
Jumping in here because those of us in the population genetics community have
semi-recently tried to tackle some of these issues of giving users a clear
sense of how R packages can work together in an analysis [0].
We created a website [1] that hosts vignettes openly contributed and cura
Certainly Google can be useful, but it can also be infuriatingly time-wasting when one needs to sort out related tools
that do slightly different things. Then good, up-to-date task views are important, and wrappers such as I and some
others are trying to develop can be a way to ease the chore of
Thanks for this. Besides stirring the pot by suggesting this suggestion, my own approach has been to try to do this with
optimr/optimrx for "optimization" (actually function minimization with possibly bounds). Hans Werner Borchers has been
charging ahead with a global optimization wrapper gloptim
hi,
first up let me apologise for breaking the thread. i subscribed to this
list after the initial email went out.
i'm not completely sure if the original post was to prompt a discussion
here, but now there's a discussion, i'm jumping in!
i'm a psychologist, and one of the challenges is the
Hi All,
A few points:
1. With respect to the CRAN Task Views, they are arguably buried a bit in the
menus and that may contribute to low traffic. There is no direct link from the
R Home page, albeit, there is a link on the main CRAN page, which is not
prominent. I wonder if it might be reasona
This discussion started me thinking about searching for a function or
package, as many questions on the R help list indicate the that poster
couldn't find (or hasn't searched for) what they want. I don't think I
have ever used task views. If I haven't got a clue where to look for
something, I use G
I definitely read the task views and advise others to do so. I
don't know how representative my little corner of the world is,
though.
I have an embryonic task view on mixed models at
https://github.com/bbolker/mixedmodels-misc/blob/master/MixedModels.ctv
but the perfect is the enemy of the g
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 p
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 "
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 appropr
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