etitanic

<p>Titanic data with incomplete cases,
passenger names, and other details removed.</p>

datasets

Build regression models using the techniques in Friedman's
papers "Fast MARS" and "Multivariate Adaptive Regression
Splines" <doi:10.1214/aos/1176347963>.
(The term "MARS" is trademarked and thus not used in
the name of the package.)

Stephen Milborrow

earth

Multivariate Adaptive Regression Splines

etitanic function

<p>A data frame with 1046 observations on 6 variables.</p>
<p></p><table><tr><td>
      <code>pclass</code>   </td>
<td> passenger class, unordered factor: 1st 2nd 3rd</td>
</tr><tr><td>
      <code>survived</code> </td>
<td> integer: 0 or 1</td>
</tr><tr><td>
      <code>sex</code>      </td>
<td> unordered factor: male female</td>
</tr><tr><td>
      <code>age</code>      </td>
<td> age in years, min 0.167 max 80.0</td>
</tr><tr><td>
      <code>sibsp</code>    </td>
<td> number of siblings or spouses aboard, integer: 0...8</td>
</tr><tr><td>
      <code>parch</code>    </td>
<td> number of parents or children aboard, integer: 0...6</td>
</tr></table>

etitanic: Titanic data with incomplete cases removed

Description

Arguments

Format

References

See Also

`pclass`	passenger class, unordered factor: 1st 2nd 3rd
`survived`	integer: 0 or 1
`sex`	unordered factor: male female
`age`	age in years, min 0.167 max 80.0
`sibsp`	number of siblings or spouses aboard, integer: 0...8
`parch`	number of parents or children aboard, integer: 0...6