flatten_mat

Flatten and arrange cor matrix to be df

A correlation-based batch process for fast, accurate imputation for
high dimensional missing data problems via chained random forests.
See Waggoner (2023) <doi:10.1007/s00180-023-01325-9> for more on 'hdImpute',
Stekhoven and Bühlmann (2012) <doi:10.1093/bioinformatics/btr597> for more on 'missForest',
and Mayer (2022) <https://github.com/mayer79/missRanger> for more on 'missRanger'.

Philip Waggoner

hdImpute

A Batch Process for High Dimensional Imputation

flatten_mat function

<dl><dt>cor_mat</dt>
<dd>A correlation matrix output from running <code>feature_cor()</code></dd>
<dt>return_mat</dt>
<dd>Logical. Should the flattened matrix be printed? Default set to FALSE.</dd></dl>

Arguments

Flatten and arrange cor matrix to be df — flatten_mat

<dl>

<dt>cor_mat</dt>
<dd>A correlation matrix output from running <code>feature_cor()</code></dd>


<dt>return_mat</dt>
<dd>Logical. Should the flattened matrix be printed? Default set to FALSE.</dd>

</dl>

flatten_mat: Flatten and arrange cor matrix to be df

Description

Usage

Value

Arguments

Examples