This is a companion discussion topic for the original entry at:
R Markdown provides an authoring framework for data science where you can save and execute code and generate high quality reports all from one file. In this talk we showcase the versatility and flexibility of R Markdown to achieve eight different outputs with minimal customization to the input file.
All eight examples here: https://github.com/mine-cetinkaya-rundel/rstudioconf-2018-rmd-eight-ways
Mine Cetinkaya-Rundel - Data Scientist at RStudio & Professional EducatorRStudio
Mine is Professional Educator at RStudio and Associate Professor of the Practice at Duke University. Her work focuses on innovation in statistics pedagogy, with an emphasis on computation, reproducible research, open-source education, and student-centered learning. She is the author of three open-source introductory statistics textbooks as part of the OpenIntro project and teaches the popular Statistics with R MOOC on Coursera.