Course objectives
R software is a powerful statistical data analysis application (among other statistics), free of copyright, and is being increasingly used by the scientific community. The course is design to provide a basic knowledge of the use of R, for data manipulation and formatting, their graphic representation, and to carry out statistical analysis. These include the creation of an operational "practical toolkit" that can be used during the student’s training and later during their professional careers.
Course contents
- Why R? - R characteristics
- Installation of R - packages - user interface: RStudio
- Scripts
- Features: Creation, personal library
- Online help – R documentation - Aide-mémoire - URLs and useful websites
- data.frame class - other data structures, object classes and data types
- Data entry, analysis and handling
- Elementary statistics
- Reading, loading and saving data
- Standard graphics - overview of lattice/trellis graphs
- Statistical methods, by way of examples treated in practical work: linear regression (simple, weighted and unweighted, multiple), non-linear, simple one-way and two-way variance analysis, descriptive multivariate analysis: Principle Component Analysis (PCA), Factorial Correspondence Analysis (FCA), classification
Teaching and learning methods
The "Statistics" content of the course is undertaken through the use of tests carried out using R to present the main functions for successfully achieving them. This course is based mainly on tutorials allowing handling of the R software (including installation on the student’s computer, allowing it to work on any operating system).
24 hours (8 half days).
Course evaluation
Individual. Production of statistical analysis of a concrete case study using R.
Target skills
Autonomy in manipulation and formatting of data, their graphic representations, their statistical analysis, in particular in areas related to the GEEFT general course.
