Block-class

Class used within the package to keep the structure and
information about the generated blocks.

Provides methods for reducing the number of features within a data set. See Bauer JO (2021) <doi:10.1145/3475827.3475832> and Bauer JO, Drabant B (2021) <doi:10.1016/j.jmva.2021.104754> for more information on principal loading analysis.

Ron Holzapfel

prinvars

Principal Variables

Jan O. Bauer

Block-class function

<dl>
<dt><code>features</code></dt>
<dd>a vector of numeric which contains the indices of the block.</dd></dl>
<dt><code>explained_variance</code></dt>
<dd>a numeric which contains the variance explained of
the blocks variables based on the whole data set.</dd>
<dt><code>is_valid</code></dt>
<dd>a logical which indicates if the block structure is valid.</dd>
<dt><code>ev_influenced</code></dt>
<dd>a vector of numeric which contains the indices of the
eigenvectors influenced by this block.</dd>

Slots

Block — Block-class

<dl>
<dt><code>features</code></dt>
<dd>a vector of numeric which contains the indices of the block.</dd>


<dt><code>explained_variance</code></dt>
<dd>a numeric which contains the variance explained of
the blocks variables based on the whole data set.</dd>


<dt><code>is_valid</code></dt>
<dd>a logical which indicates if the block structure is valid.</dd>


<dt><code>ev_influenced</code></dt>
<dd>a vector of numeric which contains the indices of the
eigenvectors influenced by this block.</dd>


</dl>

Block-class: Block

Description

Arguments

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