Organizer: University of Cambridge

Host institution: University of Cambridge Bioinformatics Training

Start: Thursday, 15 June 2017 @ 08:30

End: Friday, 16 June 2017 @ 16:30

Venue: Craik-Marshall Building

City: Cambridge

Country: United Kingdom

Postcode: CB2 3AR

Scientific topic: Biology, Bioinformatics, Biology, Bioinformatics, Biology, Bioinformatics, Biology, Bioinformatics, Biology, Bioinformatics, Biology, Bioinformatics, Biology, Bioinformatics, Biology, Bioinformatics, Biology, Bioinformatics, Biology, Bioinformatics, Biology, Bioinformatics

Target audience:
  • Graduate students
  • Postdocs and Staff members from the University of Cambridge
  • Institutions and other external Institutions or individuals
  • Please be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here
Description:

R is a highly-regarded, free, software environment for statistical analysis, with many useful features that promote and facilitate reproducible research.

In this course, we give an introduction to the R environment and explain how it can be used to import, manipulate and analyse tabular data. After the course you should feel confident to start exploring your own dataset using the materials and references provided.

The course website providing links to the course materials is here.

Please note that although we will demonstrate 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 the follow-on Data Analysis and Visualisation in R course.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.''

Event type:
  • Workshops and courses
An Introduction to Solving Biological Problems with R https://tess.oerc.ox.ac.uk/events/an-introduction-to-solving-biological-problems-with-r-4d582e5b-cd40-487c-b145-1a62c30639a1 [R](https://www.r-project.org/) is a highly-regarded, free, software environment for statistical analysis, with many useful features that promote and facilitate reproducible research. In this course, we give an introduction to the R environment and explain how it can be used to import, manipulate and analyse tabular data. After the course you should feel confident to start exploring your own dataset using the materials and references provided. The course website providing links to the course materials is [here](http://cambiotraining.github.io/r-intro/). Please note that although we will demonstrate 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 the follow-on [Data Analysis and Visualisation in R](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-intR) course. Please 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 your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=1923763&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R).'' 2017-06-15 08:30:00 UTC 2017-06-16 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR

This Event is currently not included in any packages.

changed Longitude to: 0.1224858
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changed Longitude to: 0.1224858
changed Latitude to: 52.2019652