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.


R package that provides 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.

See http://jabiru.github.io/binr/ for more details.

News

Version 1.1

  • Fixed a bug in bins.getvals handling the case where number of bins is 1. Example: lst <- bins(c(rep(1,5), rep(0, 1000)), target.bins=3, minpts=10) bins.getvals(lst)

  • Updated maintainer email and copyrights

Version 1.0 First public release.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("binr")

1.1 by Sergei Izrailev, 6 years ago


http://github.com/jabiru/binr


Browse source code at https://github.com/cran/binr


Authors: Sergei Izrailev


Documentation:   PDF Manual  


Apache License (== 2.0) license



Imported by NetSci, Rprofet.

Depended on by pkr.


See at CRAN