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After attending this presentation, participants will:

• be familiar with best practices for a script-based workflow using the R programming language,
• understand the advantages of a script-based data workflow over a manual data workflow,
• be introduced to tips and tools available in the R environment that support the steps of a script-based workflow,
• know who they can contact for support with R scripting, and
• have a list of online resources.

McCrea Cobb, Refuge Inventory and Monitoring Program, Alaska
Emma Schillerstrom, Refuge Inventory and Monitoring Program, Alaska
Jonah Withers, Fisheries and Ecological Services, Alaska

🗓️ October 31, 2024 👻
⏰ 09:00 - 10:30
🏨 Virtual
✍️Alaska Data Week

DOI Resources

• Alaska Data Management Sharepoint
• Alaska Region Interim Data Management User Guide
• DOI GitHub Enterprise Cloud (DGEC)
• FWS Using Git and GitHub

General Coding Best Practices

• What's in a name? The concepts and language of replication and reproducibility
• Best practices for scientific computing
• Good enough practices in scientific computing
• Ten simple rules for documenting scientific software
• Art of README - see examples and checklist
• Introduction toroxygen2 vignette

Introduction to R

• R for Data Science book
• An Introduction to R book
• Data Wrangling, Exploration and Analysis with R "STAT 545"
• Learn the tidyverse
• R for Excel Users
• What they forgot to teach you about R
• R cheatsheets

Style Guides

• Tidyverse style guide
• Google's R style guide
• DataNovia R style guide
• styler R package

Project management

• Stop working directory insanity!
• Project-oriented workflow
• A minimal project tree in R
• Organizing the project directory
• Designing projects
• File structure for data management
• Organizing files for data analysis
• A meaningful file structure for R projects

Project Directory Templates

• MakeProject package
• rrtools package
• prodigenr package
• refugetools R package (internal DGEC repository)

Version Control

• Happy Git with R
• RStudio User Guide: Version Control

R Packages

• R packages book
• Packaging your reproducible analysis
• RStudio User Guide: Writing Packages

Quarto

• Tutorial: Hello, Quarto
• Getting Started With Quarto (video)
• How to automate your reporting with Quarto Dashboards and Posit Connect (video)
• Quarto: Elevating R Markdown for Advanced Publishing (video)
• Quarto Dashboards (video)
• How to build business reports with Quarto (video)

R Shiny

• How to deploy a Shiny app to Posit Connect(video)
• Automate ETL for a Shiny app with Posit Connect
• Shiny Usage Tracking in Posit Connect (video)
• The Road to Easier Shiny App Deployments - posit::conf(2023) (video)
• How to bring modern UI to your Shiny apps (video)

Posit Connect

• Posit Connect General Information
• Posit Connect User Guide
• Posit Connect How To Guides
• Posit Connect Documentation
• Deploying to RStudio Connect: A Beginner’s Guide
• What is Posit Connect | Deploy All of Your R & Python Content (video)
• Introduction to Posit Connect course
• Data-level Permissions Using Posit Connect (video)

Other

• How to share your data with a statistician
• Tools for reproducible research
• Reproducibility vs. replicability: a brief history of a confused terminology

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