Detailed information about the course

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Data wrangling and plotting with R (tidyr,dplyr,ggplot) (2017)


8-9 May 2017


Dr. Caroline Betto-Colliard, Coordinator, CUSO


Dr Etienne Low-Decarie, University of Essex (UK)

Malie Lessard-Therrien, University of Bern (CH)


A larger proportion of time analysing data is spent getting the data into a format compatible with common tools, including doing calculations and summarizing data. These tasks can be a substantial challenge with non-standard or very large datasets.


This workshop will enable participants to use new tools in the R toolbox, the tidyr and dplyr packages, to easily coax their data into formats appropriate for further analysis and plotting. Visualizing the data is the next key step in the analysis pipeline. Workshop participants will learn how to master ggplot2 to produce publication quality figures providing in depth insight into their data.


Further R productivity tips and tricks are provided throughout.


University of Lausanne




Full attendance and Active participation


Have attended the course "An Introduction to R" or a similar course.


8-9 May 2017


University of Lausanne

Biophore building, informatic room 1929




 May 8th

9:30 introduction and set-up

10:00 ggplot2 basics : produce plots using ggplot2

12:00 lunch

13:30 tidyr: reshape and aggregate your data so it plays nice with other R tools

15:30 coffee break

16:00 coding dojo : practice your new skills on a challenging questions while getting instructor input


May 9th
9:30 dojo review: example solution to the dojo challenge

10:00 dplyr: summarize and transform your complex data

12:00 lunch

13:30 Advanced graphics with ggplot2 and ggmaps : produce publication quality figures and maps

15:30 coffee break

16:00 coding dojo and personal coding challenges : an opportunity to get instructor input on your personal coding challenges using your own data or tackle the provided challenge


Registration fee:

Free for participants belonging to a CUSO University (UniBE, UniFR, UniGE, UniL & UniNE). 100CHF for Academic participants 200CHF for Non-Academic participants



PhD students of the DPEE are eligible for reimbursement of incurred travel expenses by train (half-fare card, and 2nd class) and meals (up to 25CHF). Please send the original tickets (no copies, except for the general abonnement) with the reimbursement form to:

Caroline Betto-Colliard

Doctoral Program in Ecology and Evolution  

DEE- Biophore Building  

University of Lausanne  

CH-1015 Lausanne


Concerning reimbursement of accomodation, please contact Caroline Betto-Colliard (ecologie-evolution(at) BEFORE the beginning of the course.


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").

Priority is given to PhD students of the DPEE until April 15th, 2017.
After this deadline, first-come, first-served!



Deadline for registration 30.04.2017
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