Imperial College/Courses/Fall2008/Synthetic Biology (MRes class)/'R' Tutorial: Difference between revisions
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<li>[[Imperial College/Courses/Fall2008/Synthetic Biology (MRes class)/'R' Tutorial/Basic Commands | Basic Commands]]</li> | <li>[[Imperial College/Courses/Fall2008/Synthetic Biology (MRes class)/'R' Tutorial/Basic Commands | Basic Commands]]</li> | ||
<li>[[Imperial College/Courses/Fall2008/Synthetic Biology (MRes class)/'R' Tutorial/Practical |Practical]]</li> | <li>[[Imperial College/Courses/Fall2008/Synthetic Biology (MRes class)/'R' Tutorial/Practical |Practical]]</li> | ||
<li>[[Imperial College/Courses/Fall2008/Synthetic Biology (MRes class)/'R' Tutorial/'R' Resources |'R' Resources]]</li> | |||
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Revision as of 10:46, 2 December 2008
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Introduction to 'R'
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You will find here a basic introduction to the 'R Software'. Take the time to explore the Basic Commands menu before starting the pratical. |
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'R' Software Features
R is available as Free Software under the terms of the Free Software Foundation's GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.
It includes:
- an effective data handling and storage facility,
- a suite of operators for calculations on arrays, in particular matrices,
- a large, coherent, integrated collection of intermediate tools for data analysis,
- graphical facilities for data analysis and display either on-screen or on hardcopy, and
- a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.
Our Objectives
- To get familiar with a new modelling and statistical analysis software.
- To use the 'R' software to explore the behaviour of simple genetic network motifs.
- To be able to build and simulate new, and more complex, genetic networks.
