binning

bins

whether to use "quantile", weighted quantile
 "wtd.quantile" or "kmeans" binning.

method

the labels or names to use for each of the bins.

labels

whether to build an ordered factor or not.

ordered

vector of numeric weights for each observation for
 weighted quantile binning.

weights

The R Analytic Tool To Learn Easily (Rattle) provides a
collection of utilities functions for the data scientist. A
Gnome (RGtk2) based graphical interface is included with
the aim to provide a simple and intuitive introduction to R
for data science, allowing a user to quickly load data from a CSV file
(or via ODBC), transform and explore the data,
build and evaluate models, and export models as PMML (predictive
modelling markup language) or as scores. A key aspect of the GUI
is that all R commands are logged and commented through the log tab.
This can be saved as a standalone R script file and as
an aid for the user to
learn R or to copy-and-paste directly into R itself.

Graham Williams

rattle

Graphical User Interface for Data Science in R

Mark Vere Culp

Ed Cox

Anthony Nolan

Denis White

Daniele Medri

Akbar Waljee

Brian Ripley

Jose Magana

Surendra Tipparaju

Durga Prasad Chappidi

Dinesh Manyam Venkata

Mrinal Chakraborty

Fang Zhou

Cameron Chisholm

binning function

Perform binning over numeric data — binning

Perform binning over numeric data

binning: Perform binning over numeric data

Description

Usage

Arguments

Value

Details

References