M8-Dynamic Report Generation with R Markdown
AI and Data Science
AI and Data Science
R offers many first class features for statistics and data science. One of these, is certainly Rmarkdown, that allows seamless integration of analysis (code) and text. This greatly improves reproducibility, reduces copy-paste and others errors and enhances possibilities for automation.
R markdown offers three main types of output: pdf, html and docx. The first session introduces the basic framework, the output-specific possibilities and the bookdown-extension.
The second session explores some general approaches for automation (using self-built templates for report-sections or complete reports) and presents Officedown. The latter is less flexible than Rmarkdown, but offers more options for docx-output.
Fees and registration form are available on the website of the Academy for Lifelong Learning of the Faculty of Sciences (UGent).
This module targets anyone who wants to produce professional reports using R.
Basic knowledge of R as provided in Module 1 of this year's program is required. Knowledge of tidyverse as provided in Module 7 is helpful.
There is no exam connected to this module. Participants who attend both sessions receive a certificate of attendance via e-mail at the end of the course.
This is an on campus course. We offer blended learning options if, exceptionally, you can't attend a session on campus.
Friday February 10, 2023, from 9 to 12 pm and from 1 pm to 4 pm
Faculty of Science, Campus Sterre, Krijgslaan 281, building S9, Ghent
Access to slides, exercises and solutions (example code)
This module is part of the microcredential 'Data Analysis in R: Basics and Beyond' that consists of three modules:
If you are planning on registering for all three modules, consider enrolling for the microcredential instead. Read more...