• Research Center in Biodiversity and Genetic Resources

    InBIO Associate Laboratory

    Research Center in  Biodiversity and Genetic Resources
  • Research Center in Biodiversity and Genetic Resources

    InBIO Associate Laboratory

    Research Center in  Biodiversity and Genetic Resources
  • Research Center in Biodiversity and Genetic Resources

    InBIO Associate Laboratory

    Research Center in  Biodiversity and Genetic Resources
  • Research Center in Biodiversity and Genetic Resources

    InBIO Associate Laboratory

    Research Center in  Biodiversity and Genetic Resources
 

 

 

 
 
ADVANCED COURSE: INTRODUCTION TO R
November 04-08, 2019 | CIBIO-InBIO, Vairão, Portugal
2019-11-04
 

R is a programming language for statistical computing freely available, and with excellent graphical capabilities. As such, it has become an indispensable tool in all fields of biological research: many new statistical methods have been developed in recent years using R and numerous top-rank journals nowadays favor its use for the publication of scientific results.

 

The objective of this short course is to provide a general introduction towards using R for data analyses. We will provide a general review of basic operations, data types and management, aiming at familiarizing the students with the R environment without requirement of prior experience in R or programming. The course will follow a hands-on approach, with a theoretical background previous to each practical session. Participants are encouraged to bring their own data.

 

This course will provide the basis for more advanced courses on specific topics using R, and it will be a requirement for students interested in enrolling in those courses.

 

PROGRAMME

 

Monday
1. What is R? Installation (R and R-studio), main structure, seeking help.
2. Assignment, variable modes and operators.
3. Functions, packages (and seeking more help).
4. Code style guidelines.

 

Tuesday
1. Data types I: vectors, matrices and arrays.
2. Data type II: data frames, lists, and other data types.
3. Data import-export, workspaces and directories.
4. Practical session: bring and load your own data.

 

Wednesday
1. Data indexing.
2. Reviewing and tabulating your data.
3. Plotting.
4. Practice session: plots, indexing and data review.

 

Thursday
1. Control functions I: conditionals.
2. Control functions II: loops.
3. Practice session: control functions.

 

Friday
1. Some advanced features: build your functions.
2. Practice session: function writing.
3. Showcase: statistical analysis of biological data.

 

COURSE INSTRUCTORS
Antonio Jesús Muñoz Pajares - CIBIO | PLANTBIO 
Antigoni Kaliontzopoulou - CIBIO-InBIO | PHENEVOL 
Pedro Tarroso - CIBIO-InBIO | BIODESERTS 
Urtzi Enriquez Urzelai - CIBIO-InBIO | PHENEVOL

 

INTENDED AUDIENCE
The course will be open to a maximum number of 25 participants.

 

SELECTION CRITERIA
75% of available student slots are reserved for BIODIV students.
Priority will be given to:
• 1st year and other PhD students attending the BIODIV Doctoral Program;
• PhD students attending other courses;
• Other post-graduate students and researchers.

 

REGISTRATION
Participation is free of charge for BIODIV students | 95 € (students) | 200 € (other participants). CIBIO-InBIO members will have an additional discount of 20%.

 

To apply, please fill the form available HERE.

 

Registration deadline: October 01, 2019

All applicants will be notify about whether they are accept until October 09, 2019

 

 

Please note that new rules apply for all BIODIV students.