Workshop on Data Visualization in R – Lund
April 17 @ 09:00 – April 19 @ 17:00 CEST
A national course open for PhD students (prioritized), postdocs, researchers and other employees within Swedish universities who are interested in learning to produce publication quality plots using different packages in R.
Responsible teachers: Lokeshwaran Manoharan, Markus Ringner, Juliana Assis
Contact information: edu.plotting.r@nbis.se
Important dates
Application open: February 23, 2023
Application deadline: March 31, 2023
Confirmation to accepted participants: April 3, 2023
Course fee
The fee for this on-site workshop is 2000 SEK to be paid by invoice to NBIS. Please note that NBIS cannot invoice individuals so we need your institutional invoicing address. The fee covers lunches, coffee and a course dinner. Those who accept the spot and then do not attend without prior notification will also be invoiced.
Note that travel and accommodation is not included in the fee and must be arranged by the participants.
Course description
This course aims to help researchers to visualize their data in different ways using R. This course will teach how to produce publication grade figures using R. A part of this course is also about making interactive plots that the researchers can view and share in a web-server to make interactive visualizations of their data.
Course content
In this course you will learn how to visualize your data in R.
In particular, you will learn how to:
- format the data necessary for ggplot
- make bar-charts, box-plots and others using ggplot
- make PCA plots in ggplot
- use R packages for heatmaps
- plot data on maps using R (optional)
- plot and handle phylogenetic trees in R (optional)
- make interactive plots in R using Rshiny
- host a Rshiny app in one of the available servers
Learning outcomes
By the end of the course the participant will be able to:
- handle data in R for visualizations
- apply the grammar efficiently in ggplot to obtain the desired plot
- combine different data and/or different plots that are of publication-grade
- write your own simple Rshiny app
- deploy Rshiny apps in public servers.
Entry requirements
Required for being able to follow the course and to complete the plotting exercises:
- familiarity with using R and Rstudio
- a computer with R and Rstudio installed
- installation of necessary R packages prior to the start of the course
Selection criteria
The course can accommodate 25 participants. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance. Academic affiliated registrants are prioritized prior to participants from the industry.
Please note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits, however the estimated credits are just guidelines. If formal credits are crucial, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not.
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