RStudio provides the premiere open source and enterprise-ready professional software for data scientists moving to R from less flexible, proprietary, and expensive analytic platforms. Shiny, ggvis, dplyr, knitr, R Markdown, and packrat are recent R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.

Date: December 17, 2014
Time: 11:00 AM EST

Presenter:

Kevin Ushey HS Kevin Ushey - Kevin is an accomplished R programmer, but also experienced with Python, JavaScript, C, C++ and Java programming. He completed an MSc in Statistics at the University of British Columbia, under the supervision of Jenny Bryan. His thesis (PDF)involved the study of gene-gene and gene-Rx interaction effects, and statistical assessment of these epistatic effects in yeast growth curves. He is an active R user and the author of several R packages, such as Kmisc, Timeit, rsnps, EasySVGAnnotation, GitHub  

   

   

Managing Package Dependencies in R with packrat Webinar Registration:


Description:

Have you ever had to use trial-and-error to figure out what R packages you need to install to make someone else’s code work–and then been left with those packages globally installed forever, because now you’re not sure whether you need them?

Have you ever updated a package to get code in one of your projects to work, only to find that the updated package makes code in another project stop working?

We built packrat to solve these problems.

With packrat your R projects will be:

  • Isolated: Installing a new or updated package for one project won’t break your other projects, and vice versa. That’s because packrat gives each project its own private package library.
  • Portable: Easily transport your projects from one computer to another, even across different platforms. Packrat makes it easy to install the packages your project depends on.
  • Reproducible: Packrat records the exact package versions you depend on, and ensures those exact versions are the ones that get installed wherever you go.

Join us to learn how packrat can help you!


Live Webinar Wednesday, December 17 at 11am ET with Q&A to follow

Our webinar host, GoToWebinar, DOES NOT support Linux. We apologize for the inconvenience.

If for any reason you cannot make the webinar or cannot get in we will provide links to the recording as well as all materials within 48 hours.