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rbin
View on CRAN: Click
here
Download and install rbin package within the R console
Install from CRAN:
install.packages("rbin")
Install from Github:
library("remotes")
install_github("cran/rbin") Install by package version:
library("remotes")
install_version("rbin", "0.2.1") Attach the package and use:
library("rbin")
Maintained by
Aravind Hebbali
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-04
Latest Update: 2024-11-05
Description:
Manually bin data using weight of evidence and information value. Includes other binning
methods such as equal length, quantile and winsorized. Options for combining levels of categorical
data are also available. Dummy variables can be generated based on the bins created using any of
the available binning methods. References: Siddiqi, N. (2006) .
How to cite:
Aravind Hebbali (2019). rbin: Tools for Binning Data. R package version 0.2.1, https://cran.r-project.org/web/packages/rbin. Accessed 09 Aug. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for rbin
Functions, R codes and Examples using
the rbin R package
Some associated functions: mbank . rbin . rbinAddin . rbinFactorAddin . rbin_create . rbin_equal_freq . rbin_equal_length . rbin_factor . rbin_factor_combine . rbin_factor_create . rbin_manual . rbin_quantiles . rbin_winsorize .
Some associated R codes: rbin-addins.R . rbin-create-bins.R . rbin-data-bank-marketing.R . rbin-equal-freq.R . rbin-equal-length.R . rbin-factor.R . rbin-manual.R . rbin-print.R . rbin-quantile.R . rbin-shiny.R . rbin-winsorize.R . rbin.R . utils.R . zzz.R . Full rbin package functions and examples
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