ArrayBin: Binarization of numeric data arrays
Version 0.2

Fast adaptive binarization for numeric data arrays, particularly designed for high-throughput biological datasets. Includes options to filter out rows of the array with insufficient magnitude or variation (based on gap statistic).

AuthorEd Curry
Date of publication2013-06-21 11:34:43
MaintainerEd Curry <e.curry@imperial.ac.uk>
LicenseGPL (>= 2)
Version0.2
URL http://www.r-project.org http://www1.imperial.ac.uk/medicine/people/e.curry/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ArrayBin")

Popular man pages

binarize_array: Fast Adaptive Binarization
clusterDisc: Fast Adaptive Binarization - internal
mskmeans: Maximally-Separated K-Means
See all...

All man pages Function index File listing

Man pages

binarize_array: Fast Adaptive Binarization
clusterDisc: Fast Adaptive Binarization - internal
mskmeans: Maximally-Separated K-Means

Functions

binarize.array Man page Source code
clusterDisc Man page Source code
mskmeans Man page Source code

Files

MD5
man
man/clusterDisc.Rd
man/mskmeans.Rd
man/binarize_array.Rd
INDEX
R
R/clusterDisc.R
R/mskmeans.R
R/binarize_array.R
DESCRIPTION
NAMESPACE
ArrayBin documentation built on May 19, 2017, 11:01 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

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