ATGACGGATGCCGGAATTGGCATGACGGATGCCGGAATTGGCACATAACAAGTACTGCTCGGTCCTTAAGCTGTATTGCACCATATGACGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
ATGACGGATGCCGGAATTGGCATGACGGATGCCGGAATTGGCACATAACAAGTACTGCTCGGTCCTTAAGCTGTATTGCACCATATGACGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG

Intermediate R

08 - 09 May 2018
Basel
Cancellation deadline:
08 May 2018
Geoffrey Fucile, Frédéric Schütz
Academic: 120 CHF
For-profit: 0 CHF
0.5 ECTS credits
Applications are closed because the course is full with a long waiting list or has just passed. Sign up to receive notification when a new course is scheduled.
CLOSED

No future instance of this course is planned yet

The course is full with a waiting list.

Overview

This 2-day intermediate course will move beyond simple scripts/recipes towards a more systematic understanding of R and its data structures. Topics include, among others:

  • Reproducible research with KnitR/markdown
  • Objects and data structures
  • Control flow and operations (if/else, for loops, etc)
  • Functions
  • Handling missing data
  • Data manipulation: concatenation, sorting, data subsetting, apply
  • Customisation of graphics

Audience

This course is targeted at life scientists or bioinformaticians who are already using the R statistical software in practice, and want to extend their knowledge.

Learning objectives

At the end of the course, participants will be able to:

  • develop clear, reproducible, and efficient scripts
  • have a better understanding of the objects and data structures used in R
  • make conditional statements and build loops
  • use and apply different functions for data manipulation
  • create better R graphics output

Prerequisites

Knowledge / competencies

Participants must be familiar with the R statistical analysis package prior to attending the course. Those who have followed the "First Steps with R" SIB course should have sufficient knowledge in R, provided that they have regularly practiced after the course and that they are comfortable using the software. Participants will be asked to complete a short quiz in advance of the course to assess the suitability of their knowledge/experience.

Technical

A WiFi-equipped laptop with latest R and RStudio installed.

Application

The registration fees for academics are 120 CHF and 600 CHF for profit companies. This includes course content material and coffee breaks.

Deadline for registration and free-of-charge cancellation is set is set to 30/04/2018. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions.

You will be informed by email of your registration confirmation.

Venue and Time

University of Basel, Kollegienhaus, Seminarraum 103

The course will start at 9:00 and end around 17:00. Further details will be provided to the participants in due time.

Additional information

Coordination: Geoffrey Fucile

We will recommend 0.5 ECTS credits for this course (given a passed exam at the end of the course).

You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.

For more information, please contact training@sib.swiss.