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Optimising R for data analysis in ecology (3ª ed.)

Course goals

R language and statistical software has become dominant to analyse data in ecology and many other scientific disciplines. This is a medium-advanced level course where we will work along different facets of programming in R language as well as relatively complex but very common statistical analyses in ecology (generalised models, mixed models, and multivariate analyses) and data visualisation.
The course will be eminently practical where students will ‘learn by doing’. We will learn advanced R programming (e.g. writing functions, vectorisation, simulation, reproducible computing) while analysing and visualising data. We will work through the different statistical analyses focusing on understanding and promoting good practice.
The course will be most useful to people who already use R for their data analyses but want to advance their skills to harness the full potential of R and their ecological data.

Aimed at:
The course is aimed at postgraduate (M.Sc. or Ph.D.) students, postdocs, lecturers and researchers with some basic statistical knowledge and already familiar with R who want to get deeper into using R for data analysis in ecology. The student should be capable to interpret simple linear and generalised models (e.g. logistic regression), and be familiar with R (import data, data manipulation, basic data visualisation, fit simple models like lm or glm).
Course characteristics:
  • Lecturers: Ignasi Bartomeus y Francisco Rodríguez Sánchez, from the Dept. of Integrative Ecology, Doñana Biologícal Station (EBD-CSIC).
  • Place: Universidade de Coimbra (UC), Portugal.
  • Dates: 17-21 September 2018
  • Timetable: 9:30-13:30 and 15:00-17:00.
  • Registration period: From 01/02/2018 until 15/07/2018
  • Fees: Member of AEET/AIL and UC personnel: 200 €. Other: 300 €.
  • Total duration: 30 hours
  • Language: English
  • Maximum number of students: 24
  • Required skills: basic knowledge of R and statistics. Include cover letter with application. 
  • Organised by Asociación Española de Ecología Terrestre
  • In collaboration with Universidade de Coimbra (UC)

Optimising R use: Rstudio, subsetting, loops, if, functions, vectorisation, tidyr, dplyr, joins. 6
Reproducible computing and optimising your workflow: Rmarkdown, Git and GitHub 4
Mixed/multilevel models (lme4) 6
Multivariate analysis (vegan and mvabund) 4
Data visualisation with ggplot2  2
Introduction to null models and simulation 2
Using R as a GIS 2
Trabajo con tus propios datos 4

Download here a leaflet for the course.
The organization provides certificates of attendance. It is required a minimun attendance of 90% of total training hours.
Fill in the registration form and email it to You will receive an email confirming your registration and providing further instructions for payment of the course fees.

Payment of the course fees must be made by direct payment or bank transfer at the following bank account from Openbank: ES70 0073 01005804 9730 5102. Once paid please send proof (e.g. copy of transfer receipt) to, providing fiscal details to be included in the invoice.
Our tax data:
CIF: G50359017
Dpto. Biología y Geología
Universidad Rey Juan Carlos, URJC
c/Tulipán s/n
28933 Móstoles, Madrid

For any additional information, e-mail:, tel.: +34 91 4887329 (de 9:00 a 14:00)