binr: Cut Numeric Values into Evenly Distributed Groups

Implementation of algorithms for cutting numerical values exhibiting a potentially highly skewed distribution into evenly distributed groups (bins). This functionality can be applied for binning discrete values, such as counts, as well as for discretization of continuous values, for example, during generation of features used in machine learning algorithms.

AuthorSergei Izrailev
Date of publication2015-03-10 19:47:32
MaintainerSergei Izrailev <sizrailev@jabiruventures.com>
LicenseApache License (== 2.0)
Version1.1
http://github.com/jabiru/binr

View on CRAN

Files

binr
binr/inst
binr/inst/binr_1.0.pdf
binr/inst/COPYRIGHTS
binr/inst/binr_1.1.pdf
binr/inst/genpdfdoc.sh
binr/NAMESPACE
binr/NEWS
binr/R
binr/R/bins.R binr/R/optimize.R binr/R/greedy.R binr/R/binr-package.R binr/R/quantiles.R
binr/README.md
binr/MD5
binr/DESCRIPTION
binr/man
binr/man/binr.Rd binr/man/bins.greedy.Rd binr/man/bins.Rd binr/man/bins.quantiles.Rd binr/man/bins.optimize.Rd

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

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

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