group_levels

group_levels.data.frame

group_levels.factor

group_levels.list

A data.frame or factor. In the first case, <code>group_levels</code> is applied to each factor in the data.frame.

data

Numeric. The maximum number of levels allowed per factor

maximum_levels

Group infrequent levels in <code>data</code>, either a factor or a data.frameGroup infrequent factor levels in a data.frameGroup infrequent factor levels in a list of data.frames

Provides wrapper functions for running classification and
regression tests using different machine learning techniques, such as Random
Forests and decision trees. The package provides standardized methods for
preparing data to suit the algorithm's needs, training a model, making
predictions, and evaluating results. Also, some functions are provided to run
multiple instances of a test.

Sjoerd van der Spoel

crtests

Classification and Regression Tests

group_levels function

<ul>
<li> <code>factor</code>: Group infrequent levels in a factor. Takes a factor, and if that factor has more than 'maximum_levels', it makes a table of level frequencies. The top (maximum_levels-1) are left unchanged, all less frequent levels are grouped into the level "other". </li>
<li> <code>data.frame</code>: Takes a data.frame, and applies group_levels.factor to each column </li>
<li> <code>list</code>: Takes a list of data.frames and applies <code>group_levels.data.frame</code> to each
</li>
</ul>

group_levels: Group infrequent levels in `data`, either a factor or a data.frame

Description

Usage

Arguments

Value

Methods (by class)