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UID:20250917T060331EDT-6384oklETB@132.216.98.100
DTSTAMP:20250917T100331Z
DESCRIPTION:R is a powerful data analysis tool for researchers. It’s a stat
 istical programming language that is supported by a free\, open-source edi
 ting environment (RStudio) that is dedicated to building an inclusive and 
 diverse R community. Like all tools\, R has a learning curve and it can be
  difficult to know where to start. This seminar is a guided introduction t
 o R and some of the ways that it can be used to support research in inform
 ation studies.\n\nNo previous knowledge of statistics or of programming is
  assumed. An interest in quantitative research would be helpful. This work
 shop will be hands-on using examples of data taken from public sources\, s
 o please bring your laptops with you. As well\, please install R and RStud
 io (in that order) before coming to the workshop. The process takes about 
 20 minutes in all. To install R: https://cran.r-project.org/. For RStudio:
  https://rstudio.com/products/rstudio/download/ (choose the free RStudio d
 esktop version).\n\nPart 2 will introduce the following concepts. (You do 
 not need to have participated in Part 1\, but it is recommended.)\n\n\n	Bas
 ic data analysis (descriptive statistics\, correlations)\n	Visualizing data
  using ggplot\n	Simple regression (time and interest permitting)\n	Visualizi
 ng regressions using ggplot (time and interest permitting)\n\n
DTSTART:20191028T160000Z
DTEND:20191028T180000Z
LOCATION:Peel 3661\, CA\, QC\, Montreal\, H3A 1X1\, 3661 rue Peel
SUMMARY:SIS Seminar Series - Using R for research\, part 2: analysing and v
 isualising data
URL:/sis/channels/event/sis-seminar-series-using-r-res
 earch-part-2-analysing-and-visualising-data-301253
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