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This course teaches a synergetic blend of statistical computing and re-sampling (permutation and bootstrap) methods.
A free programming language and set of software tools for statistical computing, called R, has become increasingly popular at universities and labs.
It is a modern version of the S language for statistical computing that originally came out of the Bell Labs.
The output of Feature Extraction was analyzed with the R software environment for statistical computing (http://htpp://www.r-project.org/) and the Bioconductor library of biostatistical packages (http://www.bioconductor.org/).
Emphasis on statistical computing and the mechanics of how to conduct and present empirical research.
A language and environment for statistical computing.
R Core Team R: a language and environment for statistical computing.
R: A language and environment for statistical computing.
R: A language and environment for statistical computing R Foundation for Statistical Computing (2011).
R Core Team R AA language and environment for statistical computing.
R: a language and environment for statistical computing.
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