asRules

model

whether to list cateogricals compactly.

compact

further arguments passed to or from other methods.

&#8230;

Display a list of rules for an rpart decision tree.

tree

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.
Note that RGtk2 and cairoDevice have been archived on CRAN.
See <https://rattle.togaware.com> for installation instructions.

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

asRules function

<dl> 
 <dt>model</dt>
<dd>an rpart model.</dd>
 <dt>compact</dt>
<dd>whether to list cateogricals compactly.</dd>
 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd> 
</dl>

Arguments

<a href="/link/Graham.Williams%40togaware.com?package=rattle&version=5.5.1" data-mini-rdoc="rattle::Graham.Williams@togaware.com">Graham.Williams@togaware.com</a>

Author

List the rules corresponding to the rpart decision tree — asRules

<dl>

 
 <dt>model</dt>
<dd>an rpart model.</dd>


 <dt>compact</dt>
<dd>whether to list cateogricals compactly.</dd>


 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

 
</dl>

<a href='mailto:Graham.Williams@togaware.com'>Graham.Williams@togaware.com</a>

asRules: List the rules corresponding to the rpart decision tree

Description

Usage

Arguments

Author

Details

References

Examples