Introduction to Statistical Modelling in R

DATES: 23-27 October 2017 (5 sessions)
TIME: 09:00 - 11:00 (a total of 10 hours)

This course is an introduction to statistical software R. The course will introduce student to the basics of using R for statistical programming, computation, graphics, and modelling.

OBJECTIVES
- Use R for statistical programming, computation, graphics, and statistical modelling
- Write functions in and use R in efficient way
- Perform basic statistical analysis and basic statistical models

PROGRAMME
1. Introduction to the R language
1.1. Installation and libraries
1.2. RStudio environment
1.3. Reading and writing data
1.4. Basic arithmetic and matrix operations
1.5. Data frames and lists
1.6. Introduction to functions
2. Graphics
2.1. Basic plotting
2.2. Advanced plotting
3. Standard statistical models in R
3.1. Basic statistics analysis in R
3.2. Probability distributions
3.3. Linear regression and ANOVA
3.4. Generalized Linear Models
4. Advance statistical modelling
4.1. Linear mixed effects Models
4.2. Flexible regression and Generalized Additive Models
5. Case studies

PREREQUISITES
There are no formal prerequisites, but some basic knowledge of Statistics is expected. The intended audience is anyone who needs a flexible statistical environment for their research. Master and PhD students are encouraged to participate. Every student must bring the laptop computer to the course.

*Registration is free, but inscription is required before 18th October: So as to inscribe send an e-mail to roldan@bcamath.org. Student grants are available. Please, let us know if you need support for travel and accommodation expenses.

• BCAM � UPV/EHU Course LEE