BLACK LIVES MATTER
Join us and donate
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
RStudio for the Enterprise
Easily share your insights
Control and distribute packages
RStudio
RStudio Server
Shiny Server
R Packages
RStudio Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Server Pro
RStudio Connect
RStudio Package Manager
Webinars Data Science Essentials
Getting started with R Markdown
January 28, 2016
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.
Garrett is the author of Hands-On Programming with R and co-author of R for Data Science and R Markdown: The Definitive Guide. He is a Data Scientist at RStudio and holds a Ph.D. in Statistics, but specializes in teaching. He's taught people how to use R at over 50 government agencies, small businesses, and multi-billion dollar global companies; and he's designed RStudio's training materials for R, Shiny, R Markdown and more. Garrett wrote the popular lubridate package for dates and times in R and creates the RStudio cheat sheets.