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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20230312T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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BEGIN:STANDARD
DTSTART:20231105T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260410T151032
UID:184667@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20231027T100000
DTEND;TZID=America/Chicago:20231027T113000
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 use R markdown to c
 reate a README file template. A  working knowledge of R and RStudio\, and 
 some experience with R markdown would be helpful for you to get the most o
 ut of this session.\n\nREGISTER HERE:  https://go.wisc.edu/ysu69x\n\nCONTA
 CT: heather.shimon@wisc.edu\n\nURL: https://www.library.wisc.edu/steenbock
 /2023/08/17/learn-how-to-analyze-data-using-python-and-or-r-programming-la
 nguages/
LOCATION:Online\, connection information will be sent in advance
SUMMARY:R Programming for Researchers: README Files with R Markdown (online
 )
URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2023/08/17/learn-how-t
 o-analyze-data-using-python-and-or-r-programming-languages/
END:VEVENT
END:VCALENDAR