rOpenSci - open tools for open science
WEBUse our carefully vetted, staff- and community-contributed R software tools that lower barriers to working with local and remote scientific data sources. Combine our tools with the rich ecosystem of R packages. View all packages. Computing Infrastructure. Workflow Tools for Your Code and Data. Data Access. Get Data from the Web. Data Extraction.
Packages - rOpenSci
WEBPackages. Our packages are carefully vetted, staff- and community-contributed R software tools that in particular lower barriers to working with local and remote scientific data sources. Browse use cases and read our blog to learn how to use specific packages or contribute to their improvement. Curious about contributing your package?
rOpenSci | rOpenSci News Digest, September 2024
WEB12 hours ago · The rOpenSci community at upcoming events. rOpenSci Community Manager Yanina Bellini Saibene will deliver a keynote talk at BioNT Community Event & CarpentryConnect-Heidelberg 2024, on November 14th in Heidelberg, Germany. Will Landau will deliver a keynote talk at LatinR (Latin American Conference About the Use of …
Open Source OCR Engine • tesseract
WEBInstall from source. On Debian or Ubuntu install libtesseract-dev and libleptonica-dev.Also install tesseract-ocr-eng to run examples.. sudo apt-get install -y libtesseract-dev libleptonica-dev tesseract-ocr-eng. On Ubuntu you can optionally use this PPA to get the latest version of Tesseract:. sudo add-apt-repository ppa:alex-p/tesseract-ocr-devel sudo apt-get install -y libtesseract-dev ...
NOAA Weather Data from R • rnoaa - rOpenSci
WEBrnoaa. rnoaa is an R interface to many NOAA data sources. We don’t cover all of them, but we include many commonly used sources, and add we are always adding new sources. We focus on easy to use interfaces for getting NOAA data, and giving back data in easy to use formats downstream. We currently don’t do much in the way of plots or analysis.
The {targets} R package user manual - rOpenSci
WEBThe targets package is a Make -like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the ...
About us - rOpenSci
WEBCreating technical infrastructure in the form of carefully vetted, staff and community-contributed R software tools that lower barriers to working with scientific data sources on the web. Making the right data, tools and best practices more discoverable. Creating social infrastructure through a welcoming and diverse community. Promoting advocacy for a culture of data sharing and reusable software
rOpenSci Software Review Dashboard – Dashboard
WEBThis dashboard provides an overview of all current rOpenSci software review issues, and of editor availability and past editorial workloads.The dashboard includes the following components: The Editors page which provides information on current editors and activities. This page helps the Editor-in-Charge identify editors for new submissions, and gives each editor an overview of their current ...
rOpenSci Packages: Development, Maintenance, and Peer Review
WEBGuide for package authors, maintainers, reviewers and editors in rOpenSci software peer-review system. This book is a guide for authors, maintainers, reviewers and editors of rOpenSci. The first section of the book contains our guidelines for creating and testing R packages. The second section is dedicated to rOpenSci’s software peer review process: what it is, our policies, and specific ...
How to Cite R and R Packages - rOpenSci
WEBNov 16, 2021 · It’s extremely important to cite both R and R packages for several reasons: Developer Credit. Many developers of R packages for science are themselves scientists. They may be developing packages in their own time, or are trying to fit it into a busy schedule. Without citations, most scientists don’t get credit for their work.