Description
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, the bookdown-extension and the easy and rewarding move to its recent less platform dependent successor Quarto.
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.
Target audience
This module targets anyone who wants to produce professional reports using R.
Course prerequisites
Basic knowledge of R as provided in Module 2 of this year's program is required. Knowledge of tidyverse as provided in Module 8 is helpful.
Exam / Certificate
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.
Microcredential
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...
Type of course
This is a hybrid course.
Schedule
Friday December 22, 2023, from 9 to 12 pm and from 1 pm to 4 pm.
Venue
Faculty of Science, Campus Sterre, Krijgslaan 281, 9000 Ghent, Building S9, 3th floor, Room 3.3 Konrad Zuse.
Course material
Access to slides, exercises and solutions (example code)
Fees
The participation fee is 330 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations. An exam fee of 35 EUR will be applied.
- Industry, private sector, profession*: € 330
- Non profit, government, higher education staff: € 250
- (Doctoral) students, unemployed: € 150
*If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the course fee is taken into account starting from the second enrolment.
Registration
To register, add the course below to your shopping cart and proceed to checkout.
Is this your first registration for a Beta Academy course? In that case, you will need to create an account first. Afterward, you will receive a confirmation email to activate your account on the academy platform. You do not have to click on the activation link but can immediately return to your shopping cart to complete your course registration. If you do not receive a confirmation email for your course order, please contact our Academy for Lifelong Learning at ipvw.ices@ugent.be.
Are you currently on the Nova-academy website? To proceed with the registration, simply click on the "More information" box located on the left side.
UGent PhD students
As UGent PhD student you can incorporate this 'transferable skills seminar: research & valorization' in your Doctoral Training Program (DTP). To get a refund of the registration fee from your Doctoral School (DS) please follow these strict rules and take the necessary action in time. Open a dossier on the DS website (Application for Registration) for this course.
Opening a dossier with your DS does not mean that you are enrolled for the course with our academy. You still need to register on this site.
It is you or your department that pays the fee first to our academy. The Doctoral School refunds that fee to you or your department once the course has ended.
KMO-portefeuille
Information on "KMO-portefeuille": https://www.ugent.be/nl/opleidingen/levenslang-leren/kmo
Organisation
Academy for Lifelong Learning (IPVW)
Faculty of Science
ipvw.ices@ugent.be
Website
