The recent release of RStudio 1.2 introduced the ability to send long-running R scripts to local and remote background jobs. This functionality can dramatically improve the productivity of data scientists and analysts using R since they can continue working in an unblocked R session in RStudio while jobs are running in the background. In this webinar, we will demonstrate common use cases for local and remote background jobs.
James holds a master’s degree in data science from the University of the Pacific and works as a solutions engineer. His past consulting work centered around helping businesses derive insight from data assets by leveraging R. Outside of R and data science, James’s interests include spending time with his wife and children, cooking, camping, cycling, racquetball, and exquisite food. Also, he never turns down a funnel cake.
Jenny Bryan is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. She’s part of Hadley’s team, working on R packages and integrating them into fluid workflows. She’s been working in R/S for over 20 years, serves in the leadership of rOpenSci and Forwards, and is an Ordinary Member of the R Foundation. Jenny is an Associate Professor of Statistics (on leave) at the University of British Columbia, where she created the course STAT 545.
Jenny Bryan is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. She’s part of Hadley’s team, working on R packages and integrating them into fluid workflows. She’s been working in R/S for over 20 years, serves in the leadership of rOpenSci and Forwards, and is an Ordinary Member of the R Foundation. Jenny is an Associate Professor of Statistics (on leave) at the University of British Columbia, where she created the course STAT 545.
Jenny Bryan is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. She’s part of Hadley’s team, working on R packages and integrating them into fluid workflows. She’s been working in R/S for over 20 years, serves in the leadership of rOpenSci and Forwards, and is an Ordinary Member of the R Foundation. Jenny is an Associate Professor of Statistics (on leave) at the University of British Columbia, where she created the course STAT 545.
Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. There will be approximately 60 minutes of presentation. While we usually have a question and answer session, there will be a lot of ground to cover during this presentation.
We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository. https://github.com/rstudio/webinars
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RStudio provides the premiere open source and enterprise-ready professional software for R, including RStudio Desktop, RStudio Server, RStudio Connect, RStudio Package Manager Shiny Server, and shinyapps.io. The tidyverse, shiny, ggplot, ggvis, dplyr, knitr, R Markdown, and packrat are R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.