R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different
... [More] implementation of S. There are some important differences, but much code written for S runs unaltered under R.
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. [Less]
RKWard aims to provide an easily extensible, easy to use IDE/GUI for the R-project. RKWard tries to combine the power of the R-language with the (relative) ease of use of commercial statistics tools. Long term plans include integration with office suites.
ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes.
Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is
... [More] processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators.
Operators include machine learning (WEKA, MOA, MEKA) and image processing (ImageJ, JAI, BoofCV, OpenImaJ, LIRE, ImageMagick and Gnuplot). R available using Rserve. WEKA webservice allows other frameworks to use WEKA models. Fast prototyping with Groovy and Jython. Read/write support for various databases and spreadsheet applications. [Less]
a couple of shell scripts to install/remove zipped R applications to a shiny server. Complete with fancy pdf, libreoffice, and MS Word documentation.
http://www.rstudio.com/products/shiny/shiny-server/
http://www.r-project.org/
R Package robustbase: "Essential" Robust Statistics. Providing tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics.
Rmpfr provides (S4 classes and methods for)
arithmetic including transcendental ("special") functions for
arbitrary precision floating point numbers. To this end, it interfaces to
the LGPL'ed MPFR (Multiple Precision Floating-Point Reliable) Library
which itself is based on the GMP (GNU Multiple Precision) Library.
R-package for the quantitative analysis of SWATH-MS data.
- data import, filtering, transfromations
- visualization
- QC on peptide and protein level
- data normalization, scaling
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