This archive contains the course materials for the 1st course in the reproducibility cycle at URFIST Lyon.
Link to the full course content: https://colinbousige.github.io/rclass/
Colin Bousige, Laboratoire des Multimatériaux et Interfaces, UMR 5615 CNRS-Université Lyon 1, Villeurbanne, France.
2 days
- Be able to work independently with R on Rstudio
- Know how to find and understand information to make progress
- Learn how to organise your work in R, import data and install packages.
- Master the structure of data in R: learn how to read, aggregate, filter and organise data with R.
- Describe your data and create your first visualisations and models.
- Install and run R and Rstudio on any platform
- Familiarise yourself with the Rstudio interface and working with projects
- Install packages from CRAN or other sources (zip, GitHub...), and keep your installation up to date
- Data structure in R: definition and use of vectors, Booleans, data.frames, lists, etc.
- Reading and writing the main types of data file
- Working with strings
- Writing and using functions
- Writing a for loop and methods for avoiding loops
- Introduction to producing graphs with plot and sketch bases
- Modelling your data: linear fits with
lm(), and non-linear fits withnls().
No pre-requisites, no coding experience expected. Bring your own computer (any OS) with administrator rights. No specific scientific field expected: what is seen in this course is adapted to all fields. Participants are encouraged to bring their own data for more interactive exercises tailored to their needs.
Lectures and practical work. The course content is online.