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DTSTART:20170904T083000Z
DTEND:20170905T163000Z
DESCRIPTION:[R](https://www.r-project.org/) is a highly-regarded\, free\
 , software environment for statistical analysis\, with many useful feature
 s that promote and facilitate reproducible research. \n\nIn this course\, 
 we give an introduction to the R environment and explain how it can be use
 d to import\, manipulate and analyse tabular data. After the course you sh
 ould feel confident to start exploring your own dataset using the material
 s and references provided. \n\nThe course website providing links to the c
 ourse materials is [here](http://cambiotraining.github.io/r-intro/).\n\nPl
 ease note that although we will demonstrate how to perform statistical ana
 lysis 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 interp
 ret statistical tests are advised to see the list of Related courses. More
 over\, those with some programming experience in other languages (e.g. Pyt
 hon\, Perl) might wish to attend the follow-on [Data Analysis and Visualis
 ation in R](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-in
 tR) course.\n\nPlease note that if you are not eligible for a University o
 f Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account yo
 u will need to book or register your interest by linking [here](http://bio
 infotraining.bio.cam.ac.uk/booking-form/?event-id=2168456&amp\;course-titl
 e=An%20Introduction%20to%20Solving%20Biological%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/2168456
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