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Advanced Courses in Life Sciences

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1st Edition

A Gentle Introduction to R for the Biological Sciences

July 17th-21st, 2017, Willemstad (Curacao)

A Gentle Introduction to R for the Biological Sciences

This 5-day course will introduce students to the R statistical programming environment. The main learning objective of the course is to give students a basic skill set and familiarity with several of the most used packages in the biological sciences. It is intended primarily for users who have no experience in R, or who have performed a few basic functions but wish to develop their skills. This course is not aimed at students with extensive experience in R and it will not cover the theory behind the analyses implemented.

The typical day of the course will include step-by-step examination of pre-worked code examples as well as hands-on live-coding, so that students develop their skills through interacting with R directly. Students will learn to read in data, conduct common analyses, and produce publication-quality plots and reports. The students will also work independently on conducting analyses in order to produce a final project using available data provided by the course organisers.

LOCATION

CARMABI Research Station

Piscaderabaai z/n
Willemstad (Curacao)

LANGUAGE

English

COURSE LENGTH & ECTS

30 hours on-site.

This course is equivalent to 2 ECTS (European Credit Transfer System) at the Life Science Zurich Graduate School.

The recognition of ECTS by other institutions depends on each university or school.

PLACES

Places are limited to 15 participants and will be occupied by strict registration order.

Participants who have completed the course will receive a certificate at the end of it.

Instructor

Dan Warren instructor for Transmitting Science

Dr. Dan Warren
Macquarie University
Australia

Coordinators

Haris Saslis coordinator for Transmitting Science

Dr. Haris Saslis
Transmitting Science
Spain

Soledad De Esteban-Trivigno instructor at Transmitting Science

Dr. Soledad De Esteban-Trivigno
Transmitting Science
Spain

Requirements

It is intended primarily for users who have no experience in R, or who have performed a few basic functions but wish to develop their skills. This course is not aimed at students with extensive experience in R and it will not cover the theory behind the analyses implemented.

All participants must bring their own personal laptop.

Program

Monday, July 17th, 2017. Intro to R.

  • Introduction to the R statistical programming environment.
  • Introduction to R Studio.
  • Interacting with the console.
  • Working with variables.
  • Basic plots using qplot.
  • Reading data files.
  • Writing data files.
  • Working with tables, data frames, and lists.



Tuesday, July 18th, 2017. Improving workflow and organization.

  • Scripts.
  • Commenting your code.
  • Functions.
  • Control flow.
  • What to do when your code isn’t working.

Wednesday, July 19th, 2017. Taking R to the next level.

  • R packages.
  • Project organization.
  • Version control.
  • R Markdown.


Thursday, July 20th, 2017. Making it pretty.

  • Introduction to ggplot2.
  • What’s in a ggplot object.
  • Basic plot types.
  • Customizing your plot.
  • Creating and using themes.
  • Using extensions.


Friday, July 21st, 2017. Problem solving / final project.

  • T-test and linear models.
  • Looking for help online.
  • Bringing it all together in a final project.

Fees

  • Course Fee
  • Early bird (until March 31st, 2017):
  • 705
  • Regular (after March 31st, 2017):
  • 985
  • This includes course material, coffee breaks and lunches.
    (Taxes included)
  • Accommodation Package
  • Early bird (until March 31st, 2017):
  • 360
  • Regular (after March 31st, 2017):
  • 360
  • This includes local transportation, lodging, breakfasts, dinners and social (tourist) activities.
    (Taxes included)
  • Course Fee + Accommodation Package
  • Early bird (until March 31st, 2017):
  • 1,065
  • Regular (after March 31st, 2017):
  • 1,345
  • This includes course material, coffee breaks, local transportation, lodging, breakfasts, lunches, dinners and social (tourist) activities.
    (Taxes included)

We offer the possibility of paying in two instalments (contact the course coordinators). Discounts (see Funding below) are not cumulative and apply only on the fee, not to Accommodation Package or other options.

Accommodation

Accommodation will be provided at the CARMABI Research Station, in shared dormitories (common bathrooms), although you will only share rooms with other classmates. The possibility exists that the room be mixed. Therefore, if this is an inconvenience for you, please indicate so in the “Comments” field of the Registration form (see below).

A supplemental charge will be added if you prefer to stay in a single room with private bathroom. The number of rooms is limited and if you prefer to have a single room, let us know it as soon as possible. If you want more information on this please contact the course coordinators.

Funding

Former participants will have a 5 % discount on the Course Fee.

Unfortunately there are no scholarships available for this course. However a 20 % discount on the Course Fee is offered for members of some organizations (Organizations with discount). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).

Discounts are not cumulative and apply only on the fee, not to Accommodation Package or other options.

Schedule

Course ScheduleCourse + Accommodation Package Schedule
Sunday, July 16th, 2017To be announced.
Monday, July 17th through Friday, July 21st, 20179:30 to 13:30 Lessons.
13:30 to 15:00 Lunch.
15:00 to 17:00 Lessons.

There will be a coffee break each day, halfway through each morning lesson session.

8:30 to 9:15 Breakfast.
9:30 to 13:30 Lessons.
13:30 to 15:00 Lunch.
15:00 to 17:00 Lessons.
19:30 Dinner.

There will be a coffee break each day, halfway through each morning lesson session.

Saturday, July 22nd, 2017To be announced.

The schedule is approximate; it is possible that the content of one day may run into the next and a working day may be longer than advertised.

Organizers

Transmitting Science Logo
Caribbean Research and Management of Biodiversity (CARMABI) Logo

Collaborators

Distributed European School of Taxonomy (DEST) Logo
European Association of Vertebrate Palaeontologists (EAVP) Logo
Sociedade Brasileira de Paleontologia (SBP) Logo
Registration closed

PLEASE NOTE:
Registration for this course is not yet available.
If you want to receive information once the registration is open, please subscribe without any obligation by selecting the topic Statistics and Bioinformatics.