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Announcing the second round of ISC Funded Projects for 2017

By Announcement, Blog, News, R Consortium Project

The R Consortium ISC is pleased to announce that the projects listed below were funded under the 2017 edition of the ISC Funded Projects program. This program, which provides financial support for projects that enhance the infrastructure of the R ecosystem or which benefit large segments of the R Community, has awarded $500,000 USD in grants to date. The Spring 2018 call for proposals is now open and will continue to accept proposals until midnight PST on April 1, 2018.  Learn more about the program and how to apply for funding for your project.

Quantities for R

Proposed by Iñaki Ucar

The ‘units’ package has become the reference for quantity calculus in R, with a wide and welcoming response from the R community. Along the same lines, the ‘errors’ package integrates and automatises error propagation and printing for R vectors. A significant fraction of R users, both practitioners and researchers, use R to analyse measurements, and would benefit from a joint processing of quantity values with errors.

This project not only aims at orchestrating units and errors in a new data type, but will also extend the existing frameworks (compatibility with base R as well as other frameworks such as the tidyverse) and standardise how to import/export data with units and errors.

Refactoring and updating the SWIG R module

Proposed by Richard Beare

The Simplified Wrapper and Interface Generator (SWIG) is a tool for automatically generating interface code between interpreters, including R, and a C or C++ library. The R module needs to be updated to support modern developments in R and the rest of SWIG. This project aims to make the R module conform to the recommended SWIG standards and thus ensure that there is support for R in the future. We hope that this project will be the first step in allowing SWIG generated R code using reference classes.

Future Minimal API: Specification with Backend Conformance Test Suite

Proposed by Henrik Bengtsson

The objective of the Future Framework implemented in the future package is to simplify how parallel and distributed processing is conducted in R. This project aims to provide a formal Future API specification and provide a test framework for validating the conformance of existing (e.g. future.batchtools and future.callr) and to-come third-party parallel backends to the Future framework.

An Earth data processing backend for testing and evaluating stars

Proposed by Edzer Pebesma

The stars project enables the processing Earth imagery data that is held on servers, without the need to download it to local hard drive. This project will (i) create software to run a back-end, (ii) develop scripts and tutorials that explain how such a data server and processing backend can be set up, and (iii) create an instance of such a backend in the AWS cloud that can be used for testing and evaluation purposes.

R Consortium Call For Proposals: February 2018

By Announcement, Blog, News, R Consortium Project

by Joseph Rickert

The first ISC Call for Proposals for 2018 is now open. We are looking for ambitious projects that will contribute to the infrastructure of the R ecosystem and benefit large sections of the R community. However, we are not likely to fund proposals that ask for large initial cash grants. The ISC tends to be conservative with initial grants, preferring projects structured in such a way that significant initial milestones can be achieved with modest amounts of cash.

As with any proposed project, the more detailed and credible the project plan, and the better the track record of the project team, the higher the likelihood of receiving funding. Please be sure that your proposal includes measurable objectives, intermediate milestones, a list of all team members who will contributing work and a detailed accounting of how the grant money will be spent.

But, most importantly – don’t let this talk of large projects dampen your enthusiasm! We are looking for projects with impact, regardless of their size. With this call for proposals, we are hoping to stimulate creativity and help turn good ideas into tangible benefits. Look around your corner of the R Community, what needs doing and how can the R Consortium help?

Please do not submit proposals to sponsor conferences, workshops or meetups. These requests should be sent directly to the R Consortium’s R User Group and Small Conference Support Program.

To submit a proposal for ISC funding, read the Call for Proposals page and submit a self-contained pdf using the online form. You should receive confirmation within 24 hours.

The deadline for submitting a proposal is midnight PST, Sunday April 1, 2018.

The 2018 R Consortium R User Group Support Program is Underway.

By Announcement, Blog, Events, News, R Consortium Project

In just one year, the R Consortium through the R User Group Support program sponsored 76 R user groups and 3 small conferences with cash grants totaling just under $30,000. This program aligns with the R Consortium mission of fostering the continued growth of R community and the data science ecosystem, and has already helped bring more people to using R and contributing to the community.

Coming off a successful 2017, we are pleased to announce the opening of the 2018 program today. While the structure of the 2018 program is similar to last year’s program with the multiple levels of support, we have enhanced the program based on feedback from last year’s funded user groups.

Complimentary Meetup.com Pro Account

After a year of supporting user groups, we’ve found that the primary cost for each group is having a page on meetup.com or thier own website ( though the majority prefer the meetup.com platform ). This leaves less funds available things like meetup space, food, or even swag, and thus put more of a burden on the group leaders to attract people to the group.

This year we’ve leveraged our relationship with the Linux Foundation, and now will provide each user group a complimentary meetup.com Pro account. Leveraging this not removes one less cost concern for group leaders, but it will also better enable us to promote user groups through the many features the platform provides for groups. For all the details of the program, eligibility requirements for the three levels of user group grants, the schedule of grants and the details of signing up for the meetup.com pro account please see the R Consortium’s R User Group Support Program webpage.

Small Conference Support

We’ve also seen an increase in the number of smaller, regional focused R conferences happening around the world. Grassroots events like this are critical for sustainability in the R community, but need financial support and community awareness to be successful.  Several reached out last year and we provided funding with excess funds in the program with great results.

These events perfectly align with the mission of the R User Group Support program, we’re formally expanding it this year to provide cash grants in the $500 to $1,000 range to continue to encourage small, R-focused conferences and meetings organized by non-profit or volunteer groups are the world. You can find out more about this new piece of the program on the R Consortium’s R User Group Support Program webpage.

Length of Program

R Consortium will begin taking applications for both R User Group Support and Small Conference Support today. Applications will be accepted through September 30, 2018.

Apply to the 2018 RC RUGS program by filling out this form. You can email us at rugs@r-consortium.org with any questions around the program.

Recap of rOpenSci’s ozunconf – October 2017 in Melbourne

By Blog, Events

The R Consortium was happy to be a sponsor rOpenSci’s ozunconf last October in Melbourne. You can read about the “unconference” on rOpenSci’s blog and follow some of the projects begun at the event here.

Through the RUGS program, R Consortium was honored to be a sponsor for this event. If you have an smaller event you would like support for, stay tuned for the official program announcement in early 2018.

2018 R Consortium Silver member representatives for Board and ISC

By Announcement, Blog, News, R Consortium Project

Per the R Consortium ByLaws and ISC Charter, the Silver Member class is entitled to elect individuals representative of the Silver Member class for a term starting January 1, 2018 through December 31, 2018 as follows:

  • 1 representative to the ISC
  • 1 Silver Member Board Director per every 7 Silver Members, subject to provisions 4.2 and 4.3(d) of the R Consortium ByLaws. This means the Silver Member class can elect up to 2 Board Directors representing the class.

These elections ran during the month of November 2017, with 3 nominees for Silver Member Board Director and 3 nominees for the Silver Member ISC representative.

I am pleased to announce those elected by the Silver member class to serve on the Board of Directors and ISC effective 1/1/2018 through 12/31/2018.

Silver Member ISC representative

Silver Member Board Directors
Please join me in congratulating each of the elected representatives.
We would also like the share a big thank you to the outgoing Silver Member Board Director Richard Pugh of Mango Solutions. His guidance and leadership within the R Consortium have made a huge impact on its current success.

Recap of the uRos2017 conference

By Blog, Events

Editor’s Note: This post comes from Nicoleta Caragea, uRos2017 conference organizer. uRos2017 is a conference held in November 2017  for collaboration around the use of R in Romania.  Through the RUGS program, R Consortium was honored to be a sponsor for this event. If you have an smaller event you would like support for, stay tuned for the official program announcement in early 2018.

uRos2017 conference

The International Conference New Challenges for Statistical Software – The Use of R in Official Statistics – uRos2017, the fifth in a series of events, organized at Romanian NIS dedicated to the use of R Project in Romania, was held between 6-7 of November 2017. The conference, which provides a public forum for researchers from academia and institutes of statistics, brought together over 60 participants from 20 countries (Austria, Canada, Columbia, Croatia, France, Deutschland, Italy, Irak, Japan, Lithuania, Luxembourg, Morocco, Netherlands, Norway, Poland, Romania, Spain, Switzerland and Turkey). Moreover, representatives from Eurostat and other international organizations (United Nations/UNIDO and FAO) attended as guests.

Not only was uRos2017 an opportunity to develop new ideas and cooperation in the field of official statistics, the event once again demonstrated the significant role played by National Institute of Statistics in the official statistics and gives Romania a prominent spot on the map of useRs.

uRos2017 growth

Throughout the five editions of the event, the international participation has increased exponentially.

The event hosted, besides the presentations, eight workshops lectured by prestigious professionals from official statistics and academia:

  • Mark van der Loo (Statistics Netherlands), Statistical data cleaning with R
  • Valentin Todorov (United Nations Industrial Development Organization), R in the statistical office: the UNIDO experience
  • Bernhard Meindl (Statistics Austria), Current developments in R-packages sdcMicro and sdcTable for statistical disclosure control
  • Marcello D’Orazio (Food and Agriculture Organization of The United Nations), Outlier detection in R: some remarks
  • Camelia Goga (Institut de Mathématiques de Bourgogne, Université de Bourgogne, France), Survey sampling techniques with R
  • Hervé Cardot (Institut de Mathématiques de Bourgogne, Université de Bourgogne, France), Fast robust center estimation, clustering and Principal Components Analysis with large samples in high dimension with R
  • Bogdan Oancea (National Institute of Statistics/University of Bucharest, Romania) and Ciprian Alexandru (National Institute of Statistics/Ecological University of Bucharest, Romania), From unstructured data to structured data – Web scraping for Official Statistics
  • Elena Druică (University of Bucharest, Department of Economic and Administrative Sciences, Romania), Working with the ‘pglm’ package in R. Explaining the number of nosocomial infections in Romanian hospitals

uRos2017 speakers 1 uRos2017 speakers 2

The proceedings of the conference, which took place in parallel sections and included 22 presentations and 8 thematic workshops, will be published in two issues of Romanian Statistical Review: no. 4/2017 and no. 1/2018. The first one has already been published and handed to the participants during the conference, and the second one will be released in March 2018.

Romanian Statistical Review 4/2017A novelty of this year’s edition is that the conference joined with “International Conference On Computing, Mathematics And Statistics 2017” (iCMS2017), held in Langkawi Island, Malaysia. Nicolaas Jan Dirk Nagelkerke, Matthias Templ and Martin Everett delivered keynote talks at uRos2017 Asia Pacific/iCMS2017.

As a satellite event of uRos2017, a meeting between Japan’s, Austria’s (UN/UNIDO) and Romanian NIS representatives took place on November 8. The meeting was an opportunity to exchange ideas and knowledge. The discussions regarded the following subjects:

  • Modernization of Romanian Official Statistics
  • The use of R in statistical surveys
  • Data editing (outlier detection, imputation etc.)
  • Generation of statistical reports using R with Sweave/knitr
  • Online data collection for business statistics surveys

You can find more information about uRos2017 at the conference website.

The R-omanian team, has agreed to organize uRos2018 together with our colleagues from CBS-Netherlands. Keep in contact on: https://twitter.com/uRos2018.

ISC PROPOSAL SUBMISSION FAILURE

By Blog, News, R Language

by Joseph Rickert

The ISC has determined that an error in the ISC proposal submission process has caused us to lose some, but not all proposals. If you submitted a project proposal to the ISC and have received a confirmation email then you are fine. However, if you have not received a confirmation email, please email your proposal as a pdf attachment to proposal@r-consortium.org

If you do not receive a confirmation within 24 hours please email hadley@rstudio.com. Once again, if you have already received a confirmation that your proposal was received you do not need to take further action.

The revised deadline for submitting proposals is now midnight PST, Sunday October 15th.

We apologize for the inconvenience.

R Consortium Call for Proposals: Summer 2017

By Announcement, Blog, News

by Joseph Rickert and Hadley Wickham

The second and final ISC Call for Proposals for 2017 is now open. In this round, with the intention of spreading the available funds as widely as possible, the ISC is encouraging the R community to submit proposals for projects that are smaller in scope than those solicited earlier this year. For this round, the total funds requested for an individual grant should be less than $10,000. Look at the Simple Features Project as an example of what can be achieved with this level of funding.

Note that the current funding cap should not discourage anyone with plans for a more ambitious project. The ISC tends to be conservative with initial grants for large projects. So, framing your initial proposal as a “proof of concept” or “initial objective” of a large project – with an estimate of the total project cost – will not necessarily slow down the work.

As always, proposals should clearly describe the problem that needs to be solved, and be likely to have an impact on a broad segment of the R Community. Keep in mind that the ISC generally does not fund projects that apply to a limited geographic region, or a very specialized domain.

Please do not submit proposals to sponsor conferences, workshops or meetups. The R Consortium is in the process of establishing a “Marketing Committee” reporting directly to the Board of Directors, for this purpose. Until the Marketing Committee establishes a more formal procedure, please send your request for a conference or meeting sponsorship to me, joseph.rickert@rstudio.com, and I will see that it gets forwarded to the committee.

The R Consortium and ISC are proud to report that, so far, we have awarded nearly half a million dollars in grants. With your help, we can continue this pace in the future. We need solid, well thought-out proposals. Act now! Submit a proposal using this form. The current call for proposals will end at midnight PST on September 15, 2017.

Take the R Consortium’s Survey on R!

By Announcement, Blog, News, R Consortium Project, R Language

by Joseph Rickert and Hadley Wickham

Help us keep the conversation going: Take the R Consortium’s Survey. Let us know: What are you thinking? What do you make of the way R is developing? How do you use R? What is important to you? How could life be better? What issues should we be addressing? What does the big picture look like? We are looking for a few clues and we would like to hear from the entire R Community.

    

The R Consortium exists to promote R as a language, environment and community. In order to answer some of the questions above and to help us understand our mission better we have put together the first of what we hope will be an annual survey of R users. This first attempt is a prototype. We don’t have any particular hypothesis or point of view. We would like to reach everyone who is interested in participating. So please, take a few minutes to take the survey yourself and help us get the word out. The survey will adapt depending on your answers, but will take about 10 minutes to complete.

The anonymized results of the survey will be made available to the community for analysis. Thank you for participating.

                                                                                   Take the survey now!      

现在进行调查!     今すぐ調査をしてください!    Participez à l’enquête en ligne!    ¡Tome la encuesta ahora!

 

 

Code Coverage Tool for R Working Group Achieves First Release

By Blog, News, R Consortium Project, R Language

by Mark Hornick, Code Coverage Working Group Leader

The “Code Coverage Tool for R” project, proposed by Oracle and approved by the R Consortium Infrastructure Steering Committee, started just over a year ago. Project goals included providing an enhanced tool that determines code coverage upon execution of a test suite, and leveraging such a tool more broadly as part of the R ecosystem.

What is code coverage?

As defined in Wikipedia, “code coverage is a measure used to describe the degree to which the source code of a program is executed when a particular test suite runs. A program with high code coverage, measured as a percentage, has had more of its source code executed during testing which suggests it has a lower chance of containing undetected software bugs compared to a program with low code coverage.”

Why code coverage?

Code coverage is an essential metric for understanding software quality. For R, developers and users alike should be able to easily see what percent of an R package’s code has been tested and the status of those tests. By knowing code is well-tested, users have greater confidence in selecting CRAN packages. Further, automating test suite execution with code coverage analysis helps ensure new package versions don’t unknowingly break existing tests and user code.

Approach and main features in release

After surveying the available code coverage tools in the R ecosystem, the working group decided to use the covr package, started by Jim Hester in December 2014, as a foundation and continue to build on its success. The working group has enhanced covr to support even more R language aspects and needed functionality, including:

  • R6 methods support
  • Address parallel code coverage
  • Enable compiling R with Intel compiler ICC
  • Enhanced documentation / vignettes
  • Provide tool for benchmarking and defining canonical test suite for covr
  • Clean up dependent package license conflicts and change covr license to GPL-3

CRAN Process

Today, code coverage is an optional part of R package development. Some package authors/maintainers provide test suites and leverage code coverage to assess code quality. As noted above, code coverage has significant benefits for the R community to help ensure correct and robust software. One of the goals of the Code Coverage project is to incorporate code coverage testing and reporting into the CRAN process. This will involve working with the R Foundation and the R community on the following points:

  • Encourage package authors and maintainers to develop, maintain, and expand test suites with their packages, and use the enhanced covr package to assess coverage
  • Enable automatic execution of provided test suites as part of the CRAN process, just as binaries of software packages are made available, test suites would be executed and code coverage computed per package
  • Display on each packages CRAN web page its code coverage results, e.g., the overall coverage percentage and a detailed report showing coverage per line of source code.

Next Steps

The working group will assess additional enhancements for covr that will benefit the R community. In addition, we plan to explore with the R Foundation the inclusion of code coverage results in the CRAN process.

Acknowledgements

The following individuals are members of the Code Coverage Working Group:

  • Shivank Agrawal
  • Chris Campbell
  • Santosh Chaudhari
  • Karl Forner
  • Jim Hester
  • Mark Hornick
  • Chen Liang
  • Willem Ligtenberg
  • Andy Nicholls
  • Vlad Sharanhovich
  • Tobias Verbeke
  • Qin Wang
  • Hadley Wickham – ISC Sponsor