contraceptive

A subset of the 1987 National Indonesia Contraceptive Prevalence Survey.

datasets

Create, visualize, and test fast-and-frugal decision trees (FFTs) using the algorithms and methods described in Phillips, Neth, Woike & Gaissmaier (2017).
FFTs are simple and transparent decision trees for solving binary classification problems.
FFTs can be preferable to more complex algorithms because they require very little information, are easy to communicate, and are robust against overfitting.

Hansjoerg Neth

FFTrees

Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees

Nathaniel Phillips

Jan Woike

Wolfgang Gaissmaier

contraceptive function

A data frame containing 1473 rows and 10 columns.
<dl>
 <dt>wife.age</dt>
<dd>Numeric</dd> <dt>wife.edu</dt>
<dd>Factor</dd> <dt>hus.ed</dt>
<dd>Factor</dd> <dt>children</dt>
<dd>Numeric</dd> <dt>wife.rel</dt>
<dd>Numeric</dd> <dt>wife.work</dt>
<dd>Factor</dd> <dt>hus.occ</dt>
<dd>Factor</dd> <dt>sol</dt>
<dd>Factor</dd> <dt>media</dt>
<dd>Numeric</dd> <dt>cont.crit</dt>
<dd>numeric</dd>
 ...</dl>

Format

Contraceptive use data — contraceptive

A data frame containing 1473 rows and 10 columns.
<dl>
 <dt>wife.age</dt>
<dd>Numeric</dd>

 <dt>wife.edu</dt>
<dd>Factor</dd>

 <dt>hus.ed</dt>
<dd>Factor</dd>

 <dt>children</dt>
<dd>Numeric</dd>

 <dt>wife.rel</dt>
<dd>Numeric</dd>

 <dt>wife.work</dt>
<dd>Factor</dd>

 <dt>hus.occ</dt>
<dd>Factor</dd>

 <dt>sol</dt>
<dd>Factor</dd>

 <dt>media</dt>
<dd>Numeric</dd>

 <dt>cont.crit</dt>
<dd>numeric</dd>


 ...

</dl>

contraceptive: Contraceptive use data

Description

Usage

Arguments

Format

Details

See Also