R (www.r-project.org) is a free software environment for statistical computing and graphics. First, this workshop introduces basic concepts, syntax, and usage in R programming, statistical analysis, and visualization techniques. We will conduct hands-on tutorials throughout the session, giving attendees a chance to see R in action. This course is a pre-requisite for several other Collaboratory workshops.
This workshop is geared towards researchers who have little or no experience with R who want to get started with importing data into R and visualize it. This workshop will provide resources for data wrangling, visualization and cover principles and best-practices for robust and reproducible data visualization. If you are interested in any particular R/Data Visualization tool, please contact the instructor in advance and effort will be made to cover topics of community interest.
- Introduction to R and R Studio
- Importing data
- Data structures and organization
Course materials can be found here.
Data Wrangling and Visualization
- Data Wrangling and Organization with dplyr
- Guiding Principles in Data Visualization
- Data Visualization in practice with ggplot2 and pheatmap.
Data Visualization and Writing Reports
- More examples with ggplot2
- Using Rmarkdown to create reproducible reports
Dr. Maria I. Cavassim Alves is a Postdoctoral Fellow at the Lohmueller lab in the Department of Ecology and Evolutionary Biology. Her interests are in using comparative genomics to deepen our understanding of the evolutionary mechanisms that give rise to and maintain genetic variation. Currently, Izabel is investigating the impact of dominance on the distribution of fitness effects in human populations. Dr. Cavassim Alves earned her Bachelor in Agriculture Engineering from University of Sao Paulo (Brazil), Masters and Ph.D. in Bioinformatics from Aarhus University (Denmark).
Excellent workshop! I attended other R workshops in the past, but this was by far the clearest and most useful. Well done!
This is one of the best instructional seminars I have attended at UCLA – bravo to the instructor!
This course was perfect for my level (never used R before).
I had some familiarity with R, but the use of boolean functions was new very useful to me. This is exactly what I was hoping for, i.e. learn some new ‘R tricks’, thank you for the excellent course and keep up the great work!
Really clear, nicely paced, and provided a really supportive environment in which to ask questions. Would definitely recommend.
Class was very well organized and the instructors were amazing!
Length: 3 days, 3 hrs per day
Location: Boyer 529
Seats Available: 28
April 19, 20, and 21
9:00 AM to 12:00 PM
REGISTRATION IS CLOSED!