M10 - Dynamic Report Generation with R Markdown

Type of Course - Dates - Venue - Description - Target audience - Exam - IMPORTANT: Incorporation in DTP and reimbursement by DS
Course prerequisites - Teacher - Course material - Fees - Enrol

Type of course

 This is an on campus course, with blended learning options.

Dates

Friday February 11, 2022, from 9 to 12 pm and from 1 pm to 4 pm

Please note: the deadline for UGent PhD students who want a refund to open a dossier on the DS website (Application for Registration) is January 11, 2022.

Venue

 To be confirmed.

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 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.

Target audience

This module targets anyone who wants to produce professional looking reports using R.

Exam

There is no exam connected to this module. Participants receive a certificate of attendance via e-mail at the end of the course.

Incorporation in DTP and reimbursement from DS for UGent PhD students

As a UGent PhD student, to be able to incorporate this module as a 'transferable skills seminar' in your Doctoral Training Program (DTP) and get a refund of the registration fee from your Doctoral School (DS) you need to take part in all three sessions and follow strict rules: please take the necessary action in time. The deadline to open a dossier on the DS website (Application for Registration) for this course is January 11, 2022. Please note that opening a dossier does not mean that you are enrolled. You still need to enrol via the registration form on this site.

Course prerequisites

Basic knowledge of R as provided in Module 1 of this year's program is required. Knowledge of tidyverse as provided in Module 6 is helpful.

Teacher

Foto Dries ReyndersDries Reynders studied Physics and Statistical Data Analysis at Ghent University.

He is an experienced teacher and is, in that role, well trained in explaining the link between mathematics and the reality it describes. Currently, he works as statistical consultant for the Stat-Gent consortium.

Course material

Slides, exercises and solutions (example code)

Fees

A different price applies, depending on your main type of employment.

Employment M10
Industry/Private sector1 240
Non-profit, government, higher education staff2 180
(Doctoral) students, retired, unemployed2 80

1 If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the module price is taken into account starting from the second enrolment.

2 UGent-staff and UGent doctoral students who pay internally via SAP or internal transfer can participate at these special rates.

Enrol for this course