BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20240310T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20241103T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260410T090553
UID:190433@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20240315T100000
DTEND;TZID=America/Chicago:20240315T120000
DESCRIPTION:Documenting your analysis in a way that is understandable to a 
 colleague (or yourself 3 months later) can be challenging. README files ar
 e text documents that record your computational environment\, methodologie
 s\, and more. After this session\, you will be able to create a README fil
 e template in RStudio. A  working knowledge of R and RStudio\, and some ex
 perience with R markdown would be helpful for you to get the most out of t
 his session.\n\nREGISTER HERE: https://go.wisc.edu/gp5ml2\n\nCONTACT: heat
 her.shimon@wisc.edu\n\nURL: https://www.library.wisc.edu/steenbock/2023/12
 /22/learn-how-to-analyze-data-using-python-and-or-r-programming-languages/
LOCATION:Online\, connection information will be sent in advance
SUMMARY:R Programming for Researchers: README Files in RStudio (online)
URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2023/12/22/learn-how-t
 o-analyze-data-using-python-and-or-r-programming-languages/
END:VEVENT
END:VCALENDAR