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, but it is early days.
Jonathan: since you are planning to attend, perhaps we can collaborate to include jmv as another example. One issue is
that there are almost certainly many anova tools, but unlike optimizers where one wants to compare performance, I
believe anova will be about comparing possibly incompatible features. If interested, get in tough offline.
Best, JN
On 2017-02-10 07:48 PM, Jonathon Love wrote:
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 number of packages required to do
what is "standard practice", and
getting them all to work together.
to do an ANOVA (the bread and butter of psych research) with all it's
assumption checks, contrasts, corrections, etc.
requires in the order of seven packages.
our solution to this is to create an "uber" package, which makes use of all
these things behind a single function call
(with many arguments), which is what our jmv package is:
https://www.jamovi.org/jmv/
we represent an extreme, we even handle plots, but there are other examples of
more intermediate solutions: afex, psych,
etc.
i appreciate this is somewhat at odds with (what i perceive to be) the R ethos,
which is giving people very fine control
over the intermediate parts of one's analysis, but it is another approach to
making it easier for people to find
appropriate tools for their field.
for me, the key is being "goal-centred", "what is a person in my field trying to
achieve?" rather than
"analysis-centred"; "this package provides analysis X" ... but i appreciate
this is likely an unpopular position.
i'll definitely be attending this session at use!R, and happy to espouse more
unpopular views
cheers
jonathon
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
______________________________________________
R-package-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-package-devel
______________________________________________
R-package-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-package-devel
