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DTSTAMP:20260808T220431Z
UID:ec107d02-db58-4931-bfb1-ef817996f048
DTSTART:20161019T083000Z
DTEND:20161020T163000Z
DESCRIPTION:[R](https://www.r-project.org/) is a highly-regarded\, free\, s
 oftware environment for statistical analysis\, with many useful features t
 hat promote and facilitate reproducible research. \n\nIn this course\, we 
 give an introduction to the R environment and explain how it can be used t
 o import\, manipulate and analyse tabular data. After the course you shoul
 d feel confident to start exploring your own dataset using the materials a
 nd references provided. \n\nCourse materials are available [here](http://c
 ambiotraining.github.io/r-intro/).\n\nPlease note that although we will de
 monstrate how to perform statistical analysis in R\, we will not cover the
  theory of statistical analysis in this course. Those seeking an in-depth 
 explanation of how to perform and interpret statistical tests are advised 
 to see the list of Related courses. Moreover\, those with some programming
  experience in other languages (e.g. Python\, Perl) might wish to attend t
 he follow-on [Data Analysis and Visualisation in R](http://training.csx.ca
 m.ac.uk/bioinformatics/course/bioinfo-intR) course.\n\nPlease note that if
  you are not eligible for a University of Cambridge [Raven](http://www.ucs
 .cam.ac.uk/docs/faq/raven/n5) account you will need to book or register In
 terest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form
 /?event-id=1819428&amp\;course-title=An%20Introduction%20to%20Solving%20Bi
 ological%20Problems%20with%20R).''
LOCATION:Craik-Marshall Building
SUMMARY:An Introduction to Solving Biological Problems with R
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/1819428
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