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Shiny is an R package that makes it easy to build interactive web apps straight from R. This webinar will cover the basics of building and deploying a Shiny app, including essentials of reactive programming for building apps that are more efficient, robust, and correct. We will also discuss building interactive plots and creating interactive documents containing Shiny components.
Testing Shiny applications with Shinytest - Shiny developers now have tools for automated testing of complete applications.
Testing Shiny applications with Shinytest - Shiny developers now have tools for automated testing of comple...
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The Latest Resources
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.
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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
shinyloadtest and shinycannon are two new tools that work together to help you answer the question: how many users can my app support?
R, RStudio 1.2 & Python a love story - Sean Lopp
We'll discuss R’s history of interoperability and the philosophy of Reticulate, the Reticulate-powered features in RStudio 1.2, and talk through a case study of a reticulated Shiny app
How to Work with List Columns - Garrett Grolemund
This webinar breaks down one of the most esoteric concepts in the tidyverse: list columns.
Plumbing APIs with plumber - Jeff Allen
Plumber is an open-source R package that converts your existing R code into a web API; this enables you to leverage your R code from other platforms or programing languages.
Comunicando resultados con R - Edgar Ruiz
Professional R tooling and integration - Nathan Stephens
Many organizations do not officially recognize R as a standard or integrate R with IT managed systems. Yet these same organizations employ data science teams that use R on a daily basis.
Debugging techniques in RStudio
Fortunately, there are excellent tools built into R and RStudio that can make debugging easier.
Scaling Shiny apps with asynchronous programming
Asynchronous programming offers a way to offload certain classes of long-running operations from the main R thread, such that Shiny apps can remain responsive.
Usando R para la Ciencia de Datos - Using R for Data Science
La extracción de conocimiento mediante el análisis de datos es usualmente una tarea compleja y ardua. Las extensiones de R, llamadas paquetes, que son parte de lo que en inglés llamamos “tidyverse”.
The R-hub builder is an R package build and continuous integration service. It aims to simplify the R package development process: creating a package, building binaries and continuous integration.
Training your TensorFlow models in the cloud
TensorFlow is an open-source software library for numerical computation using data flow graphs.
Thinking inside the box: you can do that inside a data frame?!
The data frame is a crucial data structure in R and, especially, in the tidyverse. Working on a column or a variable is a very natural operation, which is great. But what about row-oriented work?
Best practices for working with databases
Get the most out of joining R forces with database forces. We will review key concepts, share the latest in R packages, and demo useful techniques.
Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr.
Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr. It enables tidyverse users to write reusable functions and pipeline wrappers.
In this webinar for seasoned command-line users we’ll dig into the terminal features and the possibilities it opens up in your workflows on both RStudio Desktop and RStudio Server.
New features of the IDE
The IDE has new features including: a new Terminal tab, which gives you a fully functional terminal emulator right inside the IDE; the Connections tab, which lets you browse your data and data sources
RStudio Drivers Overview