var_to_keep

internal

Omics data (e.g. transcriptomics, proteomics,
metagenomics...)  offer a detailed and multi-dimensional perspective
on the molecular components and interactions within complex biological
(eco)systems.  Analyzing these data requires adapted procedures, which
are implemented as steps according to the 'recipes' package.

Antoine Bichat

scimo

Extra Recipes Steps for Dealing with Omics Data

Antoine BICHAT

Julie AUBERT

var_to_keep function

<dl><dt>values</dt>
<dd>A numeric vector, with one value per variable to keep or
discard.</dd>
<dt>n_kept</dt>
<dd>Number of variables to keep.</dd>
<dt>prop_kept</dt>
<dd>A numeric value between 0 and 1 representing the proportion
of variables to keep. <code>n_kept</code> and <code>prop_kept</code> are mutually exclusive.</dd>
<dt>cutoff</dt>
<dd>Threshold beyond which (below or above) the variables are
discarded.</dd>
<dt>maximize</dt>
<dd>Whether to minimize (<code>FALSE</code>) or maximize (<code>TRUE</code>, the
default) the quantity given by <code>values</code>.</dd></dl>

Arguments

Author

Decide which variable to keep — var_to_keep

<dl>

<dt>values</dt>
<dd>A numeric vector, with one value per variable to keep or
discard.</dd>


<dt>n_kept</dt>
<dd>Number of variables to keep.</dd>


<dt>prop_kept</dt>
<dd>A numeric value between 0 and 1 representing the proportion
of variables to keep. <code>n_kept</code> and <code>prop_kept</code> are mutually exclusive.</dd>


<dt>cutoff</dt>
<dd>Threshold beyond which (below or above) the variables are
discarded.</dd>


<dt>maximize</dt>
<dd>Whether to minimize (<code>FALSE</code>) or maximize (<code>TRUE</code>, the
default) the quantity given by <code>values</code>.</dd>

</dl>

Decide which variable to keep

var_to_keep: Decide which variable to keep

Description

Usage

Value

Arguments

Author

Examples