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Building Bioinformatics Solutions$
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Conrad Bessant, Darren Oakley, and Ian Shadforth

Print publication date: 2014

Print ISBN-13: 9780199658558

Published to Oxford Scholarship Online: April 2014

DOI: 10.1093/acprof:oso/9780199658558.001.0001

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Analysis and visualisation of data using R

Analysis and visualisation of data using R

Chapter:
(p.157) Chapter 4 Analysis and visualisation of data using R
Source:
Building Bioinformatics Solutions
Author(s):

Conrad Bessant

Darren Oakley

Ian Shadforth

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199658558.003.0004

This chapter provides a practical introduction to the R language for statistical computing, using examples from the world of bioinformatics. The chapter begins with basic concepts such as how data is represented, manipulated and visualised within R. It goes on to explain how to write R programs to perform multivariate analysis and produce bespoke graphics. The use of add-on packages to extend the functionality of R is explained, with the RMySQL package for database connectivity and BioConductor modules for transcriptomics used to illustrate the possibilities.

Keywords:   R, programming, databases, visualisation, graphics, data analysis, statistics, CRAN, bioinformatics

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