Yes, I am impressed at the R community. There is http://cran.r-project.org/web/views/ReproducibleResearch.html
and rOpenSci http://ropensci.github.io/ which has spawned pyOpenSci https://github.com/pyOpenSci There are a lot of enthusiastic people (many of them involved in Software Carpentry) who are participating in a lot of initiatives... Mozilla Science Lab has been doing a lot, in http://forum.mozillascience.org/t/code-review-project/22/ I suggested maybe trying to work on a cookiecutter project for different types of research. For doing reproducible research, trying to capture dependencies is very tricky, so anything that helps with that would be valuable. People who are pros at package management could certainly help there. People who are pros at containers and virtual machines will also have valuable insights. There are custom distros for scientists, like neuro debian. I am more enthusiastic about packages over custom distros. On Thu, Oct 30, 2014 at 4:34 AM, Willem Ligtenberg <[email protected]> wrote: > Hi all, > > Just to pitch in on the R part, since that is my domain. > Specifically for R a lot of code is shared through packages, either > through CRAN, Bioconductor or sometimes githubs. > Obviously, some people still keep code for themselves, but specifically R > is doing a pretty good job at making code sharing easy. > > One initiative that I am aware of is: > http://software-carpentry.org/index.html > > Kind regards, > > Willem > > On Thu, Oct 30, 2014 at 7:08 AM, A. Mani <[email protected]> wrote: > >> On Wed, Oct 29, 2014 at 5:18 AM, Walter Lapchynski <[email protected]> >> wrote: >> > Sounds interesting, but I'm not sure I understand what you have in mind. >> >> >> I meant we should have people exploring domain specific practices and >> requirements (within the sciences). >> >> For example, a few days ago I posted a mail on aspects relating to >> LaTeX- related work flows. >> >> I think there are many other work flows that can be the reason for >> further customization. >> >> Consider the case of people doing machine learning on GNU/R. >> >> The relevant "views" is not the last word. >> >> People write their own code variants, but do not care to publish. >> >> There are far too many ways of implementing algorithms from scratch or >> at some mixed level. >> >> We can have projects to help with the situation. >> >> >> specify ...there are thousands more. >> >> >> >> Best >> >> A. Mani >> >> >> >> A. Mani >> [Last_Name. First_Name Format] >> CU, ASL, AMS, ISRS, CLC, CMS >> HomePage: http://www.logicamani.in >> Blog: http://logicamani.blogspot.in/ >> sip:[email protected] >> >> -- >> Mailing list: https://launchpad.net/~ubuntu-scientists >> Post to : [email protected] >> Unsubscribe : https://launchpad.net/~ubuntu-scientists >> More help : https://help.launchpad.net/ListHelp >> > > > -- > Mailing list: https://launchpad.net/~ubuntu-scientists > Post to : [email protected] > Unsubscribe : https://launchpad.net/~ubuntu-scientists > More help : https://help.launchpad.net/ListHelp > > -- [email protected]
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