R/Stats Office Hours
February 28 @ 1:00 pm - 3:00 pm
CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book a specific time slot by emailing Andrew Ghazi or are welcome to drop-in throughout the 2 hour session to ask for help using R or statistical analysis of their data.
The drop-in hours are the same time each week, 1-3 PM on Wednesday, in person at Countway Library. In-person sessions are first-come, first-served, and broken into 30 minute blocks. If you intend to come by, sending a heads-up email beforehand is helpful for planning, but not required. If the timeslot of the drop-in hours doesn’t work for you, send an email to schedule a 30-minute Zoom call at an alternate time (subject to scheduling constraints).
Please note that CCB cannot be held responsible for the results or outcomes that may arise from the implementation of any advice provided during our office hours by individuals or third parties. Our office hours are meant to offer guidance and information to the best of our ability, but the responsibility for the execution and consequences of any experimental approaches lie solely with the individual or entity implementing them. We recommend conducting thorough validations and seeking expert advice as necessary when evaluating your results.
Who is Eligible: Quad-based HMS students, postdocs, research staff, and faculty
When: Every Wednesday 1:00 – 3:00 PM, January 3 – March 27
Where: Room #11, Countway Library, located on L1 (Lower Level 1)