- Learning Roadmap
- Important RStudio Sites
Administering RStudio Server Pro - use R at scale
RStudio Server Pro supports project sharing, collaborative editing, multiple versions of R, multiple concur...
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The Latest Resources
Scaling Data Science at the EPA
Join Jeff Hollister & David Smith to learn about two examples of EPA's journey in adopting popular open source tools.
Interactivity in Production
Interactive products take your data science to a new level, but they require new coding decisions. This webinar will give you clear guidelines on when and how to add interactivity to your work.
RStudio Connect in Production
Communicating results can be the most challenging part of Data Science: many insights never leave the laptops where they are discovered. RStudio Connect changes that.
Reproducibility in Production
Computational documents offer limitless opportunities for your business. With them, your consumers can rerun your report with new parameters, apply your analysis to new data, or schedule updates.
RStudio local jobs and remote launcher
RStudio local jobs and remote launcher: Offload your work and unblock your console
Modeling in Databases with R
Find out how to further integrate databases and R. We will cover the latest on plotting, correlations, predictions and even fitting models inside databases, but using R code.
The Role of R in Drug Discovery, Research, and Development
The analytics required to bring a novel molecule to market involves the collective effort of hundreds of quantitative scientists, with incredibly diverse training, tools and workflows.
A Gentle Introduction to Tidy Statistics in R
R is a fantastic language for statistical programming, but making the jump from point and click interfaces to code can be intimidating for individuals new to R.
RStudio Cloud in the Classroom
Much has been written in the statistics and data science education literature about pedagogical tools and approaches to provide a practical computational foundation for students.
In this webinar, we'll cover strategies to create reproducible environments in R and the tools you need to implement them.
What Every Data Scientist Should Know About Education
Thousands of programmers teach coding, web design, robotics, and other skills in the workplace or after-school programs and bootcamps, but most have never been taught how to teach well.
Best Practices for Administering RStudio in Production
Most organizations are unfamiliar with the R programming language. As a result they often struggle to onboard and manage R in production. In this webinar we introduce the RStudio Quickstart...
Programación con R
Hay ocasiones que, cuando trabajamos en un análisis en R, necesitamos dividir nuestros datos en grupos, y después tenemos que correr la misma operación sobre cada grupo.
Accessing and responding to Plotly events in Shiny
For several years now, the Plotly package has provided an `event_data()` function for accessing click, hover and drag event information in Shiny. This functionality provides a powerful way to build...
Make PowerPoint Presentations with R Markdown
This webinar demonstrates how to create feature rich PowerPoint presentations from R Markdown and how to use these presentations to share insights, visualizations, Shiny apps, and more.
Convenient analysis with broom - Alex Hayes
In this webinar I’ll demonstrate how to use to broom to work with many models at once.
Reproducible Finance with R - Jonathan Regenstein
In this webinar, we will create and code a real (but simple) portfolio analysis in order to explore R's data import, wrangling, and visualization tools in the world of investment management.
Introduction to the RStudio Package Manager - Sean Lopp
This webinar will introduce RStudio Package Manager, a new product to organize R packages across teams, departments, and organizations.
Help me help you. Creating reproducible examples - Jenny Bryan
What is a reprex? It’s a reproducible example. Making a great reprex is both an art and a science and this webinar will cover both aspects.
Load testing Shiny - Alan Dipert