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
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BEGIN:STANDARD
DTSTART:20241103T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260409T132352
UID:198189@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20241025T100000
DTEND;TZID=America/Chicago:20241025T123000
DESCRIPTION:Documenting your analysis in a way that is understandable to a 
 colleague can be challenging. README files are text documents that record 
 your computational environment\, methodologies\, and more. After this sess
 ion\, you will be able to use Quarto in RStudio to create a README file te
 mplate. A working knowledge of R and RStudio\, and some experience with a 
 markdown language would be helpful for you to get the most out of this ses
 sion.\n\nREGISTER HERE: https://go.wisc.edu/23sblv\n\nCONTACT: heather.shi
 mon@wisc.edu\n\nURL: https://www.library.wisc.edu/steenbock/2024/08/13/lea
 rn-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/2024/08/13/learn-how-t
 o-analyze-data-using-python-and-or-r-programming-languages/
END:VEVENT
END:VCALENDAR