Data processing with R tidyverse
Introduction
R is a powerful language for data science in many disciplines of research with a steep learning curve. The tidyverse group of packages provide a dialect that greatly simplifies:
- data importing
- cleaning
- processing
- visualization as well as providing reproducible workflows using pipelines (
%>%)
Adopt Hadley Wickham, Chief Scientist at RStudio, philosophy: take each step of data science and replace many intricacies of R with clear, consistent and easy to learn syntax. RStudio will be the software to use since it eases package management, scripting, plotting and data handling.
The four day course provides a complete introduction to data science in R with the tidyverse. The course will not go deep into statistics but rather getting data ready, some exploratory analysis, visualization and handling models.
Preparing data takes up to 80% of the time spent in analysis — speeding this up is the mission of this course.
Tidyverse
The tidyverse is an official CRAN package and here is its manifesto. Hadley proposed the following workflow described in his must-read book R for data science
H. Wickham - R for data science, licence CC
In terms of R packages, the workflow is nicely depicted as in this picture, by David Robinson
Requirements
Prior knowledge
Participants should have basic experience in programming environments such as Matlab, Octave or other programming languages or complete a simple free online course.
Material
Each student must bring their own laptop with R and Rstudio installed with recent versions. Please look at install tutorial to set it up prior to the course.
Schedule
Dates and time
From: 14th to 17th May 2019.
Each day, the workshop will be a mixture of lectures and practicals from:
- 9:00 - 9:30 welcome coffee
- 9:30 - 12:30 course work with a coffee break
- 12:30 - 13:30 lunch breaks from
13:30 - 17:30 course work with a coffee break
Coffee will be served the course room
Program
| Date | Time | Session | Teacher | Notes |
|---|---|---|---|---|
| 2019-05-14 | 09:30 | Introduction | AG | |
| 11:00 | Tidy data | RK | ||
| 11:45 | String manipulation | RK | stringr |
|
| 13:30 | RMarkdown | AG | knitr |
|
| 14:30 | Import | AG | readr |
|
| 2019-05-15 | 09:30 | Data transformation | RK | dplyr, tidyr |
| 13:30 | Visualization | AG | ggplot |
|
| 18:00 | Dinner with participants | RK | ||
| 2019-05-16 | 09:30 | Functional programming | AG | purrr |
| 13:30 | Tidy models | AG | broom |
|
| 15:30 | Advanced Programming | AG | tidyeval |
|
| 2019-05-17 | 09:30 | Practical | All |
Location
The course will be held at:
Maison du Savoir
University of Luxembourg
Belval Campus
2, avenue de l’Université
L-4365 Esch-sur-Alzette
Luxembourg
In the room 4.510, Maison du Savoir, 4th floor.
room 4.510
Registration
the course is limited to 25 participants. Register through this form
ECTS
PhD students that enrolled through the doctoral school will receive 2 ECTS in category 1, which requires handing in a short project and practicals as Rmd files that students miss. For example if you are absent the first day, you must do and send back:
- practical introduction with
datasauRus - practical string manipulation
- practical import data
Elixir
This event is supported by ELIXIR-Luxembourg