R Markdown: Eight ways

R Markdown: Eight ways

February 26, 2018

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.

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About the speaker

Mine Çetinkaya-Rundel

Professional Educator and Data Scientist

Mine Çetinkaya-Rundel is Professional Educator and Data Scientist at RStudio as well as Senior Lecturer in the School of Mathematics at University of Edinburgh (on leave from Department of Statistical Science at Duke University). Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and under-represented minorities in STEM. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. She also organizes ASA DataFest and works on the OpenIntro project. She is also the creator and maintainer of datasciencebox.org and she teaches the popular Statistics with R MOOC on Coursera.