ranked_balances

lifecycle::badge("experimental")
Extract the standard deviations (default) from the <code>"Summary" data.frame</code>
from the output of <code>summarize_balances()</code>,
ordered by the <code>`SD_rank`</code> column.
See examples of usage in
<code>summarize_balances()</code>.

Methods for dividing data into groups.
Create balanced partitions and cross-validation folds.
Perform time series windowing and general grouping and splitting of data.
Balance existing groups with up- and downsampling or collapse them to fewer groups.

Ludvig Renbo Olsen

groupdata2

Creating Groups from Data

ranked_balances function

<dl><dt>summary</dt>
<dd><code>"Summary" data.frame</code> from output of
<code>summarize_balances()</code>.
Can also be the direct output list of
<code>summarize_balances()</code>, in which case
the <code>"Summary"</code> element is used.</dd>
<dt>measure</dt>
<dd>The measure to extract rows for. One of:
<code>"mean", "median", "SD", "IQR", "min", "max"</code>.
The most meaningful measures to consider as metrics of balance are <code>`SD`</code> and <code>`IQR`</code>,
as a smaller spread of variables across group summaries means they are more similar.
NOTE: Ranks are of standard deviations and not affected by this argument.</dd></dl>

Arguments

Ludvig Renbo Olsen, <a href="/link/r-pkgs%40ludvigolsen.dk?package=groupdata2&version=2.0.5" data-mini-rdoc="groupdata2::r-pkgs@ludvigolsen.dk">r-pkgs@ludvigolsen.dk</a>

Author

Extract ranked standard deviations from summary — ranked_balances

<dl>

<dt>summary</dt>
<dd><code>"Summary" data.frame</code> from output of
<code>summarize_balances()</code>.
Can also be the direct output list of
<code>summarize_balances()</code>, in which case
the <code>"Summary"</code> element is used.</dd>


<dt>measure</dt>
<dd>The measure to extract rows for. One of:
<code>"mean", "median", "SD", "IQR", "min", "max"</code>.
The most meaningful measures to consider as metrics of balance are <code>`SD`</code> and <code>`IQR`</code>,
as a smaller spread of variables across group summaries means they are more similar.
NOTE: Ranks are of standard deviations and not affected by this argument.</dd>

</dl>

Ludvig Renbo Olsen, <a href='mailto:r-pkgs@ludvigolsen.dk'>r-pkgs@ludvigolsen.dk</a>

ranked_balances: Extract ranked standard deviations from summary

Description

Usage

Value

Arguments

Author

See Also