[R-pkg-devel] UseR! Session: Navigating the jungle of R packages.
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
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