ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
Intermediate R
27 November 2015
For-profit: 0 CHF
No future instance of this course is planned yet
Overview
This 3-day advanced course is targeted at life scientists or bioinformaticians who are comfortable using the R statistical software in practice, and want to extend their knowledge. Lectures will be conducted in the morning, with practicals in the afternoon.
Topics covered include, among others:
- Best practices for programming in R
- Using R to conduct reproducible analysis
- Data structures and manipulation of data within R
- Profiling code
Learning objectives
At the end of the course, participants will be able to:
- reduce the number of potential errors and bugs when programming in R
- efficiently use R data structures in order to store and process their data
- profile their code to find and remove bottlenecks in order to make it run faster
Prerequisites
Knowledge / competencies:
- Participants must be familiar with the R statistical analysis package prior to attending the course.
- Participants who have followed the Introduction to statistics course should have sufficient knowledge in R, provided that they have regularly practiced after the course and that they are comfortable using the software.
- Having attended the First Steps with R SIB course does not provide enough background to follow this course; regular practice with R extending beyond the First Steps course is required.
- If you have any question about the prerequisites, please do not hesitate to contact us at training@sib.swiss.
Technical: A WiFi-equipped laptop with latest R version installed.
Application
The registration fees for academics are 150 CHF. This includes course content material, coffee breaks and a social dinner on Monday evening. Participants from non-academic institutions should contact us before application.
The course is currently full.
Deadline for application and cancellation is set to 27 November 2015. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions, available at http://www. 'sib.swiss' /training/training-general-conditions.html.
You will be informed by email of your registration confirmation.
Location
University of Lausanne, Genopode building, classroom 2020 (Metro M1 line, Sorge station)
Additional information
The course will be taught by Frédéric Schütz and coordinated by Diana Marek.
We will recommend 1 ECTS credits for this course (given a passed exam at the end of the session).
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.