Detailed information about the course
Introduction to R
29 August - 1 September 2017
|Lang||Workshop language is English|
In collaboration with the Doctoral Programs in Organismal Biology, CUSO Ecology & Evolution, CUSO Molecular Plant Sciences & CUSO Microbiology Prof. Jérôme Goudet, University of Lausanne (CH)
Prof. Jérôme Goudet, UniL
The open source software R (http://www.r-project.org) has revolutionized the statistical data analysis for most bioscience disciplines.The required time to learn the R software is well invested, since the R environment covers an unmatched spectrum of statistical tools including an efficient programming language for automating time-consuming analysis routines. Due to its popularity, R is continuously updated and extended with the latest analysis tools that are available in the different research fields. The R environment is completely free and runs on all common operating systems.
This course provides an elementary-level introduction into the R environment covering the following topics:
(1) Command syntax, basic functions,
(2) Data import/export and data types,
(3) Using R for data mining and statistical analysis,
(4) Introduction to programming in S,
(5) Graphical display,
(6) Usage of R packages and libraries
The attendees will practice their newly learned skills using exercises on the computer. Participants could also bring their own data sets for a first exploratory round.
University of Lausanne
Full attendance, active participation and possible examination
PhD students of StarOmics are eligible for reimbursement of incurred travel expenses by train (half-fare card, and 2nd class) and meals (up to 25 CHF). Please send the original tickets (no copies, except for the general abonnement) with the reimbursement form to: Corinne Dentan (see: biologie.cuso.ch) Concerning reimbursement of accomodation, please contact Corinne Dentan (StarOmics(at)cuso.ch) BEFORE the beginning of the course. For all other PhD students, please check reimbursement conditions on the website of your doctoral program.
CUSO PhD students: through your MyCUSO account. External participants (non-CUSO PhD students, post-docs, etc...): use the icon "registration" at top of page and the last gray box "non-CUSO student" ("personne hors myCUSO").
REGISTRATIONS WILL OPEN 13TH OF MARCH 2017 AT 10:00AM
|Deadline for registration|