Introduction to R programming and biological data analysis

Introduction to R programming and biological data analysis


  • Lecturer(s) or Responsible(s): Inês Fragata (cE3c, EE Research Group) & Alexandre Blanckaert (cE3c, EG Research Group)
  • Department Responsible: Departamento de Biologia Animal, Faculdade de Ciências da Universidade de Lisboa
  • Data: May 3rd, 2023 to May 5th, 2023
  • Deadline for Applications: April 3rd, 2023
  • Duration: 18 hours
  • Schedule: 9h-12h30 and 14h-17h30m, Wednesday-Thursday; 9h-13h – Friday
  • Nº (min, max) Students: 10-20
  • Location: Faculdade de Ciências da Universidade de Lisboa

Objectives

Provide students with basic knowledge of R programming, allowing them to manipulate and visualize data with R.

Topics:

  • Introduction to R and R studio
  • R Basic syntax
  • Introduction to variable types and functions
  • Manipulate vectors, matrices and data frames
  • Read and load data into R
  • Make graphics in R

Minimum formation: - Bachelor’s degree in biology or related areas. No previous knowledge of R is necessary.

This course can have a recognition of 3 ECTs for FCUL PhD students enrolling in it as part of their first doctoral year. For these students the delivery of a report after the course is mandatory. The report is also advised for other students requesting creditation of the course in their institutions.

 

Directed to: PhD or MSc students in Biology or related areas, and postdocs and other professionals working in related areas

General Plan

Detailed plan:

  • Introduction to R and R studio: students will become familiar with the R and R studio environments and will learn how to setup and manage a project using R studio.
  • R Basic syntax: students will learn how to assign variables, create scripts and print to the console.
  • Introduction to variable types and functions: the students will learn the different type of variables and learn how to distinguish functions from variables. The students will become familiarized with function syntax and outputs.
  • Manipulate vectors, matrices and data frames: the students will learn how to create vectors, matrices and data frames and what are their different uses. They will also learn how to access the different data types, and extract information.
  • Read and load data into R: the students will learn how to import data into R and how to quickly visualize it.
  • Make graphics in R: the students will learn how to create graphics using basic R plot and how to configure several options. We will also do a quick overview of the ggplot2 package.


Funding

Students fees


Partners

n.a.


Fee

Free for 1st year PhD students of FCUL enrolling in it as part of the curricular year; also free for 1st year PhD students in the Doctoral program Biodiversity, Genetics and Evolution (UP) and Biology and Ecology of Global Changes (UA) when the course counts credits for their formation; in all these cases the delivery of a final report done after the course is mandatory; the course is also free for more advanced PhD students of the BIODIV programme (ULisboa or UPorto); 25 € for other PhD students from cE3c, 40 € for PhD students from institutions of the PEERS network (CFE); 70 € for FCUL Master students, more advanced PhD FCUL students and unemployed (not from cE3c);and unemployed; 90 € for BTI, BI and other PhD students; 125 € for Professional and postdocs.

When the maximum number of students is reached, 10 vacancies will be available for non-paying 1st year PhD students mentioned above, being, by order of preference students from: 1) cE3c; 2) BIODIV (not from cE3c); 3) FCUL (not from cE3c); 4) Sustainability Science (not from cE3c or FCUL); 5) BEAG (not from cE3c or FCUL).


Contacts for Inscription

 Candidates should fill in the following google form:

https://forms.gle/JozCZJ4r48cqsXuL8

irfragata@fc.ul.pt