Thursday, December 19, 2024 From rOpenSci (https://ropensci.org/blog/2024/12/19/news-december-2024/). Except where otherwise noted, content on this site is licensed under the CC-BY license.
Dear rOpenSci friends, it’s time for our monthly news roundup!
You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci!
We are excited to announce that R-Universe has been named the R Consortium’s newest Top-Level Project! We’re glad to be in the company of community and infrastructure projects that have been designated critical to the R Ecosystem, such as R-hub, DBI, R-Ladies, and the R User Group program, and we are grateful for the support of the R Consortium and its Infrastructure Steering Committee (ISC).
Read more in our announcement!
Contributing to open source can be very rewarding but also incredibly intimidating. In this community call, moderated by Hugo Gruson, our speakers, Yaoxiang Li, Pascal Burkhard, and Sunny Tseng, will share practical advice for making first contributions, how to use tools like git and testthat, and common challenges and how to overcome them.
📆 Monday, 20 January 2025 16:00 UTC 🎤 With Yi-Chin Sunny Tseng, Pascal Burkhard, Yaoxiang Li, Hugo Gruson. Check your local time + info to join + speakers bio and resources
Read all about coworking!
Join us for social coworking & office hours monthly on first Tuesdays! Hosted by Steffi LaZerte and various community hosts. Everyone welcome. No RSVP needed. Consult our Events page to find your local time and how to join.
And stay tuned for some special coworking sessions supporting first-time contributors to open source coming up in February and March 2025!
And remember, you can always cowork independently on work related to R, work on packages that tend to be neglected, or work on what ever you need to get done!
This year, we have made important progress, working with our community to create content in several languages.
We had our first community call in Portuguese and made our first translaton together with the LatinR Conference.
The progress of the Portuguese translation of our development guide is amazing!
We are very grateful to all the people who have made this possible.
We are very close to achieving our goal!
We also published the first version of our Localization and Translation Guidelines. Why and how we localize and translate our resources.
Everything we developed and learned during the translations & localizations of our content is detailed in this book: the processes, the roles, and the technical tools.
We hope it will be helpful to other groups!
Stay tuned for more news and activities on multilingual projects in 2025!.
The following package recently became a part of our software suite:
Discover more packages, read more about Software Peer Review.
The following eight packages have had an update since the last newsletter: drake (7.13.11), getCRUCLdata (v1.0.2), jagstargets (1.2.3), lightr (v1.8.0), rerddap (v1.2.0), spatsoc (v0.2.8), stantargets (0.1.2), and targets (1.9.1).
There are seventeen recently closed and active submissions and 6 submissions on hold. Issues are at different stages:
Two at ‘6/approved’:
gigs, Assess Fetal, Newborn, and Child Growth with International Standards. Submitted by Simon Parker. (Stats).
agromet, Índices y Estadísticos Climáticos e Hidrológicos. Submitted by Paola Corrales.
Four at ‘4/review(s)-in-awaiting-changes’:
rredlist, IUCN Red List Client. Submitted by William Gearty.
mbquartR, Finding Manitoba Quarter Sections. Submitted by Alex Koiter.
emodnet.wfs, Access EMODnet Web Feature Service data through R. Submitted by Maëlle Salmon.
cancerprof, API Client for State Cancer Profiles. Submitted by Brian Park.
Four at ‘3/reviewer(s)-assigned’:
butterfly, Verification For Continually Updating Timeseries Data. Submitted by Thomas Zwagerman.
fireexposuR, Compute and Visualize Wildfire Exposure. Submitted by Air Forbes.
sits, Satellite Image Time Series Analysis for Earth Observation Data Cubes. Submitted by Gilberto Camara.
fwildclusterboot, Fast Wild Cluster Bootstrap Inference for Linear Models. Submitted by Alexander Fischer. (Stats).
Three at ‘2/seeking-reviewer(s)’:
pkgmatch, Find R Packages Matching Either Descriptions or Other R Packages. Submitted by mark padgham.
QuadratiK, A Collection of Methods Using Kernel-Based Quadratic Distances for. Submitted by Giovanni Saraceno. (Stats).
galamm, Generalized Additive Latent and Mixed Models. Submitted by Øystein Sørensen. (Stats).
Four at ‘1/editor-checks’:
geotargets, Targets Extensions for Geospatial Formats. Submitted by Nicholas Tierney.
sasquatch, Use SAS, R, and quarto Together. Submitted by Ryan Zomorrodi.
forcis, An R Client to Access the FORCIS Database. Submitted by Nicolas Casajus.
capybara, Fast and Memory Efficient Fitting of Linear Models With High-Dimensional. Submitted by Mauricio “Pachá” Vargas Sepúlveda.
Find out more about Software Peer Review and how to get involved.
R-Universe Named R Consortium Top-Level Project by Noam Ross and Jeroen Ooms. We’re excited to announce R-Universe has been named the R-Consortium’s newest Top-Level Project. Other languages: R-Universe es ahora un proyecto de alto nivel del R Consortium (es).
Introducing the rOpenSci Localization and Translation Guidelines by Yanina Bellini Saibene, Maëlle Salmon, Pao Corrales, and Elio Campitelli. rOpenSci has developed a set of guidelines to assist our community in translating and localizing our resources. We’re excited to share the first version of the rOpenSci Localization and Translation Guidelines. Other languages: Presentación de la Guía de localización y traducción de rOpenSci (es).
If you’re interested in maintaining any of the R packages below, you might enjoy reading our blog post What Does It Mean to Maintain a Package?.
hddtools, Hydrological Data Discovery Tools. Issue for volunteering.
circle, R client package for the Continuous Integration (CI) provider Circle CI. Issue for volunteering.
tic, Tasks Integrating Continuously: CI-Agnostic Workflow Definitions. Issue for volunteering.
USAboundaries (and USAboundariesdata), historical and contemporary boundaries of the United States of America . Issue for volunteering.
historydata, datasets for historians. Issue for volunteering.
Refer to our help wanted page – before opening a PR, we recommend asking in the issue whether help is still needed.
The bib2f package, for parsing BibTeX files into tibbles, would need some help! Issue for volunteering.
Some useful tips for R package developers. 👀
Here are two functions that parse the *.Rcheck folders in the given directory:
tools::check_packages_in_dir_details() gives a data frame, one line for each NOTE, WARNING or ERROR in the check logs.
Therefore, one gets multiple lines per package.
We can convert the output to JSON:
df <- tools::check_packages_in_dir_details(".")
toJSON(df, pretty=TRUE)
...
{
"Package": "EXAMPLE",
"Version": "3.2",
"Check": "examples",
"Status": "ERROR",
"Output": "Running examples in ‘EXAMPLE-Ex.R’ failed\nThe error most likely occurred in:\n\n> ### Name: core_cpp\n> ### Title: Maximization of Cross-Validateed Accuracy Methods\n> ### Aliases: core_cpp\n> \n> ### ** Examples\n> \n> # Here, the famous (Fisher's or Anderson's) iris data set was loaded\n> data(iris)\n> u=as.matrix(iris[,-5])\n> s=sample(1:150,150,TRUE)\n> \n> # The maximization of the accuracy of the vector s is performed\n> results=core_cpp(u, clbest=s,fpar = 5)\nError in core_cpp(u, clbest = s, fpar = 5) : unused argument (fpar = 5)\nExecution halted",
"Flags": "--no-manual --no-vignettes"
},
{
"Package": "EXAMPLE",
"Version": "3.2",
"Check": "package vignettes",
"Status": "WARNING",
"Output": "Located more than one ‘weave’ output file (by engine ‘knitr::rmarkdown’) for vignette with name ‘EXAMPLE’: ‘EXAMPLE.html’ (28837 bytes), ‘EXAMPLE.pdf’ (986231 bytes)\nPackage vignette without corresponding single PDF/HTML:\n ‘EXAMPLE.Rmd’",
"Flags": "--no-manual --no-vignettes"
}
To instead obtain the final “conclusion” for each package log, use this:
output <- tools:::check_packages_in_dir_results(".")
output$EXAMPLE
$status
[1] "ERROR"
$lines
...
[8] "* checking examples ... ERROR"
[9] "* checking package vignettes ... WARNING"
The CRAN Cookbook by Jasmine Daly and Beni Altmann with participation of Heather Turner is a guide for solving common (and often recurring) issues spotted by CRAN volunteers during package submissions and re-submissions. The guide present practical “recipes” organized by different parts of the package structure.
For those using the usethis package for their package development tasks, here are two highlights from the 3.1.0 release:
use_vignette() and use_article() now support Quarto (not as default yet).use_tidy_upkeep_issue() records the year it is being run in the Config/usethis/upkeep field in DESCRIPTION. If this value exists, it is used to filter the checklist when making the issue.”Thanks for reading! If you want to get involved with rOpenSci, check out our Contributing Guide that can help direct you to the right place, whether you want to make code contributions, non-code contributions, or contribute in other ways like sharing use cases. You can also support our work through donations.
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