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ropensci/assertr: Assertive programming for R analysis pipelines
rOpenSci Labs
The drake R Package User Manual
ropenscilabs/icon: R package to easily insert web icons to RMarkdown
eechidna/imputing-census.R at master · ropenscilabs/eechidna
ropenscilabs/checkers: Automated checking of best practices for research compendia ✔️
ropenscilabs/datastorr: Simple data versioning and distribution
jimbrig2011/dirdf: R package: dirdf - Extracts Metadata from Directory and File Names
ropenscilabs/reviewer: Improving the track changes and reviewing experience in R markdown
ropenscilabs/packagemetrics: A Package for Helping You Choose Which Package to Use
Good practice for data packages - Google Docs
ropenscilabs/testrmd: Test chunks for R Markdown.
A package to create cheatsheets • rOpenSci: rcheatsheet
lockedata/optiRum: R Package 📦 of useful helper functions from Optimum Credit
ropensci/drake: An R-focused pipeline toolkit for reproducibility and high-performance computing
MangoTheCat/goodpractice: Advice on R Package Building
benmarwick/rrtools: rrtools: Tools for Writing Reproducible Research in R
rOpenSci | Pdftools 2.0: powerful pdf text extraction tools
Data · R packages
ropenscilabs/dataspice: Create lightweight schema.org descriptions of dataset
annakrystalli/metadatar: Tools for creating metadata files for reproducible research.
datapack R package overview • rOpenSci: datapack
Tidy evaluation
22 Debugging | Advanced R
pablo14/funModeling: R package: funModeling: data cleaning, importance variable analysis and model perfomance
Productionizing Shiny and Plumber with Pins · R Views
Read Tabular Data from Diverse Sources and Easily Make Them Tidy • tidycells
dreamRs/apexcharter: R Htmlwidget for ApexCharts.js
ropensci/DataPackageR: An R package to enable reproducible data processing, packaging and sharing.
ropensci/datapack: An R package to handle data packages
ropenscilabs/datastorr: Simple data versioning and distribution
2018-04-18-rstats-nyc/Noam_Ross_ModernDataPkg_rstatsnyc_2018-04-20.pdf at master · noamross/2018-04-18-rstats-nyc
rOpenSci | Building Reproducible Data Packages with DataPackageR
DataPackageR/YAML_CONFIG.md at master · ropensci/DataPackageR
DataPackageR/usingDataPackageR.md at master · ropensci/DataPackageR
Mastering Software Development in R
Piggyback Data atop your GitHub Repository! • piggyback
Piggyback comparison to alternatives • piggyback
Project Environments • renv
Environments: Snapshot and Restore
Best Practice for good documented reproducible analysis - RStudio Community
represtools • represtools
Packaging data analytical work reproducibly using R (and friends)
Data · R packages
(17) RStudio Community
How to Automatically Document Data With the codebook Package to Facilitate Data Reuse - Ruben C. Arslan, 2019
Guide to writing "readme" style metadata | Research Data Management Service Group
Bioconductor - Package guidelines
Best practices
kdestasio (Krista DeStasio)
Designing projects - Nice R Code
My research workflow, based on Github
Structuring R projects | R-bloggers
Pimp my RMD: a few tips for R Markdown
www.r-bloggers.com | 524: A timeout occurred
Beyond Basic R - Introduction and Best Practices - The USGS OWI blog
Programming with R
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