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 R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.

Date: October 12th 2015
Time: 11:00 AM EDT

Description:

Cut and paste for reporting doesn't cut it anymore! In this webinar you'll learn to write reports quickly and effectively with the R Markdown package. Using R Markdown you'll be able to generate reports straight from your R code, documenting your work — and its results — as an HTML, pdf, slideshow, or Microsoft Word document.

We'll see how to combine code and text into a single R Markdown file, the perfect document format for automated reporting and reproducible research. The .Rmd file retains all of your code for reproducibility, but lets you set how the code and its results will appear in the final report. Best of all, R Markdown reports are parameterizable. You can apply the same report to multiple data sets.

Reporting with R Markdown Webinar Registration:

Presenter:

Garrett Grolemund, Data Scientist and Master Instructor - Garrett is the Editor and Chief of the Shiny Development Center (shiny.rstudio.com), the official source of documentation, articles, and how-to examples for Shiny. He wrote the popular lubridate package and is the author of Hands On Programming with R and the upcoming book, R for Data Science, from O’Reilly Media. He holds a PhD in Statistics and specializes in Data Visualization. GitHub

Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. It is typical for many people who register to not attend (which is why registration does not guarantee access.) 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.