yaiRFsummary

an object of class <code><a rd-options="" href="/link/yai?package=yaImpute&version=1.0-29" data-mini-rdoc="yaImpute::yai">yai</a></code>.

object

the <code>nTop</code> most important variables are plotted (returned).

nTop

When method <code>randomforest</code> is used to build a <code><a rd-options="" href="/link/yai?package=yaImpute&version=1.0-29" data-mini-rdoc="yaImpute::yai">yai</a></code>
 object, the <code><a rd-options="randomForest" href="/link/randomForest?package=yaImpute&version=1.0-29&to=randomForest" data-mini-rdoc="randomForest::randomForest">randomForest</a></code> package computes
 several statistics. This function summarizes some of them, including
 the variable importance scores computed by function <code><a rd-options="" href="/link/yaiVarImp?package=yaImpute&version=1.0-29" data-mini-rdoc="yaImpute::yaiVarImp">yaiVarImp</a></code>.

multivariate

misc

tree

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.

Nicholas Crookston

yaImpute

Nearest Neighbor Observation Imputation and Evaluation Tools

yaiRFsummary function

an object of class <code><a rd-options='' href='yai'>yai</a></code>.

When method <code>randomforest</code> is used to build a <code><a rd-options='' href='yai'>yai</a></code>
 object, the <code><a rd-options='randomForest' href='randomForest'>randomForest</a></code> package computes
 several statistics. This function summarizes some of them, including
 the variable importance scores computed by function <code><a rd-options='' href='yaiVarImp'>yaiVarImp</a></code>.

yaiRFsummary: Build Summary Data For Method RandomForest

Description

Usage

Arguments

Value

See Also