Getting started with R Markdown

Date
10 March 2021 (Germany: 09:00 - 12:00 AM; China: 16:00 - 19:00 PM)

Location
online via MLUConf

Credit points
0.25 CP

Course Language
English

Target Group
Doctoral Researchers

Contents
R Markdown is an authoring framework for data science that saves and executes code and turns analysis in R into high-quality documents, reports, dashboards and many other formats. With R markdown you can embed code directly into text so results and figures get added to our reports automatically. In this course, you will learn how to use R Markdown to create dynamic and reproducible reports that show the underlying code and the output from your analysis (e.g. figures and tables) and provide text explanations along with your code and output.

Lecturer

Dr. Francesco Sabatini

Francesco is a postdoctoral researcher at MLU/iDiv. As coordinator of sPlot - The Global Vegetation Database, he has a profound expertise in big data infrastructure and in compiling and analysis of global datasets.

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