Undergraduate Students, Staff, Alumni, Faculty, Graduate Students, Postdocs
R is a free, open-source software environment for statistical analysis as well as cleaning, manipulating, and visualizing quantitative data. Recent community-authored tools have extended R’s functionality into geospatial mapping, Open-Science publishing, development of web applications, and machine learning as well. In this online, hands-on workshop, we’ll get an overview of these activities in R using the RStudio environment. Topics include:
Orientation to the RStudio interface
Opening, viewing, and saving tabular data files (spreadsheets)
Installing and using community-authored packages
Basic operations and calculations in R
Some possible next steps for learning R
Can't make it to this workshop? You can always contact us for help, stop by our Drop-In Hours, check out our instructional content, or schedule an instruction session for a class or group.
This workshop is part of our Coding and Computational Methods Series.
Dial-In Information
Registration is required. https://pitt.libcal.com/event/10182574
Monday, January 30 at 1:00 p.m. to 3:00 p.m.
Virtual EventR is a free, open-source software environment for statistical analysis as well as cleaning, manipulating, and visualizing quantitative data. Recent community-authored tools have extended R’s functionality into geospatial mapping, Open-Science publishing, development of web applications, and machine learning as well. In this online, hands-on workshop, we’ll get an overview of these activities in R using the RStudio environment. Topics include:
Orientation to the RStudio interface
Opening, viewing, and saving tabular data files (spreadsheets)
Installing and using community-authored packages
Basic operations and calculations in R
Some possible next steps for learning R
Can't make it to this workshop? You can always contact us for help, stop by our Drop-In Hours, check out our instructional content, or schedule an instruction session for a class or group.
This workshop is part of our Coding and Computational Methods Series.
Dial-In Information
Registration is required. https://pitt.libcal.com/event/10182574
Monday, January 30 at 1:00 p.m. to 3:00 p.m.
Virtual Event
Undergraduate Students, Staff, Alumni, Faculty, Graduate Students, Postdocs