Contacts Subscribe Newsletter

Objectives

This course aims to give basic skills in R, but with some applications in the field of Evolutionary Ecology

This course can have a recognition of 6 ECTs for FCUL PhD students enrolling in it as part of their first doctoral year. For FCUL PhD students only requiring 5 ECTs recognized in their specific PhD programmes the last 6 hours of the course are not mandatory and the certificate will be on 'Topics in R without fear’.

Minimum formation: bachelor degree in Biology or related areas

General Plan

Introduction to the R working environment

Variable types in R

Statistical populations and samples through working examples

Measurements of central tendency and variability

Precision, accuracy and bias

Hypothesis testing: Falsability, Type-I and II errors and statistical power

Correlation and simple regression

P-value vs. effect magnitude

Linear Models: residuals, assumptions and interpretation.

Explained vs. unexplained variance of a model (the coefficient of determination).

Building functions in R

Introduction to graphics in R

The concept of partial effect: partial regression and correlation

General Linear Models (GLM)

Curve fitting in linear models and General Additive Models (GAMs)

The problem of spatial autocorrelation in ecology and evolution

pts: checking and plotting interactions

Introduction to General and Generalized Linear Mixed Models (GLMM)

Fixed vs. Random effects and implications for analysis: main R functions

Introduction to Bayesian statistics: the function MCMCglmm

Practical examples in evolutionary ecology:

The study of natural selection

Applications of linear models for quantitative genetics

Student’s case studies

Funding

Students fees.

Fee

Free for 1st year PhD students in the Doctoral programme in Biology (FCUL), Biodiversity, Genetics and Evolution (UL; UP) and Biology and Ecology of Global Changes (UL, UA); 20 € for PhD students from institutions of the PEERS network (cE3c, CFE); 100 € for FCUL Master students and unemployed; 150 € for BTI, BI and other PhD students; 200 € for Professionals and postdocs

How to Apply

Candidates should send a short CV and a motivation letter to Jordi Moya-Laraño at the following email address: jordi@eeza.csic.es