plot.varSel

Provides a descriptive plot of now the mean Mahalanobis distances change
 as variables are added or deleted using <code>varSelection</code>.

multivariate

Performs nearest neighbor-based imputation using one or more alternative
approaches to processing multivariate data. These include methods based on canonical
correlation: analysis, canonical correspondence analysis, and a multivariate adaptation
of the random forest classification and regression techniques of Leo Breiman and Adele
Cutler. Additional methods are also offered. The package includes functions for
comparing the results from running alternative techniques, detecting imputation targets
that are notably distant from reference observations, detecting and correcting
for bias, bootstrapping and building ensemble imputations, and mapping results.

Jeffrey S Evans

yaImpute

Nearest Neighbor Observation Imputation and Evaluation Tools

Jeffrey S. Evans

Nicholas L. Crookston

Andrew O. Finley

John Coulston (Sunil Arya and David Mount for ANN)

plot.varSel function

<dl> <dt>x</dt>
<dd>an object create by <code>varSelection</code></dd> <dt>main</dt>
<dd>becomes the plot title, if NULL one is generated</dd> <dt>nbest</dt>
<dd>number of variables designated in the plot as the best;
 if null the number is computed by <code>bestVars</code></dd> <dt>arrows</dt>
<dd>if true, an arrow is added to the plot designating 
 the best variables.</dd> <dt>...</dt>
<dd>passed to boxplot functions</dd></dl>

Arguments

Nicholas L. Crookston <a href="/link/ncrookston.fs%40gmail.com?package=yaImpute&version=1.0-34.1" data-mini-rdoc="yaImpute::ncrookston.fs@gmail.com">ncrookston.fs@gmail.com</a>

Author

Boxplot of mean Mahalanobis distances from varSelection() — plot.varSel

<dl>

 <dt>x</dt>
<dd>an object create by <code>varSelection</code></dd>

 <dt>main</dt>
<dd>becomes the plot title, if NULL one is generated</dd>

 <dt>nbest</dt>
<dd>number of variables designated in the plot as the best;
 if null the number is computed by <code>bestVars</code></dd>

 <dt>arrows</dt>
<dd>if true, an arrow is added to the plot designating 
 the best variables.</dd>

 <dt>...</dt>
<dd>passed to boxplot functions</dd>

</dl>

Nicholas L. Crookston <a href='mailto:ncrookston.fs@gmail.com'>ncrookston.fs@gmail.com</a>

plot.varSel: Boxplot of mean Mahalanobis distances from varSelection()

Description

Usage

Arguments

Author

See Also

Examples