In rsquaredacademy/rbin: Tools for Binning Data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "tools/README-",
  out.width = "100%"
)

rbin

Tools for binning data

Installation

# Install rbin from CRAN
install.packages("rbin")

# Or the development version from GitHub
# install.packages("devtools")
devtools::install_github("rsquaredacademy/rbin")

Addins

rbin includes two addins for manually binning data:

• rbinAddin()
• rbinFactorAddin()

Usage

library(rbin)

Manual Binning

bins <- rbin_manual(mbank, y, age, c(29, 31, 34, 36, 39, 42, 46, 51, 56))
bins 

# plot
plot(bins)

Combine Factor Levels

# combine levels
upper <- c("secondary", "tertiary")
out <- rbin_factor_combine(mbank, education, upper, "upper")
table(out$education)

# bins
bins <- rbin_factor(out, y, education)
bins 

# plot
plot(bins)

Quantile Binning

bins <- rbin_quantiles(mbank, y, age, 10)
bins 

# plot
plot(bins)

Winsorized Binning

bins <- rbin_winsorize(mbank, y, age, 10, winsor_rate = 0.05)
bins 

# plot
plot(bins)

Equal Length Binning

bins <- rbin_equal_length(mbank, y, age, 10)
bins 

# plot
plot(bins)

Alternatives

• smbinning
• logiBin
• woeBinning
• binr

Getting Help

If you encounter a bug, please file a minimal reproducible example using reprex on github. For questions and clarifications, use StackOverflow.

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

rsquaredacademy/rbin documentation built on June 3, 2023, 6:07 p.m.