summarize_samples

summarize_samples.default

summarize_samples.mild_df

Summarize a numeric data frame based on specified grouping columns and a list
of functions. This is useful in summarizing a <code>mild_df</code> object from the
sample level to the instance level.

Weakly supervised (WS), multiple instance (MI) data lives in
numerous interesting applications such as drug discovery, object
detection, and tumor prediction on whole slide images. The 'mildsvm'
package provides an easy way to learn from this data by training
Support Vector Machine (SVM)-based classifiers. It also contains
helpful functions for building and printing multiple instance data
frames. The core methods from 'mildsvm' come from the following
references: Kent and Yu (2024) <doi:10.1214/24-AOAS1876>; Xiao, Liu, and Hao
(2018) <doi:10.1109/TNNLS.2017.2766164>; Muandet et al. (2012)
<https://proceedings.neurips.cc/paper/2012/file/9bf31c7ff062936a96d3c8bd1f8f2ff3-Paper.pdf>;
Chu and Keerthi (2007) <doi:10.1162/neco.2007.19.3.792>; and Andrews
et al. (2003)
<https://papers.nips.cc/paper/2232-support-vector-machines-for-multiple-instance-learning.pdf>.
Many functions use the 'Gurobi' optimization back-end to improve the
optimization problem speed; the 'gurobi' R package and associated
software can be downloaded from <https://www.gurobi.com> after
obtaining a license.

Sean Kent

mildsvm

Multiple-Instance Learning with Support Vector Machines

Yifei Liou

summarize_samples function

<dl><dt>data</dt>
<dd>A data.frame, 'mild_df' object, or similar of data to summarize.</dd>
<dt>group_cols</dt>
<dd>A character vector of column(s) that describe groups to
summarize across.</dd>
<dt>.fns</dt>
<dd>A list of functions (default <code>list(mean = mean)</code>).</dd>
<dt>cor</dt>
<dd>A logical (default <code>FALSE</code>) for whether to include correlations
between all features in the summarization.</dd>
<dt>...</dt>
<dd>Arguments passed to or from other methods.</dd></dl>

Arguments

<ul>
<li><code>summarize_samples(default)</code>: Method for data.frame-like objects.</li>
<li><code>summarize_samples(mild_df)</code>: Method for <code>mild_df</code> objects.</li>
</ul>

Methods (by class)

Author

Summarize data across functions — summarize_samples

<dl>

<dt>data</dt>
<dd>A data.frame, 'mild_df' object, or similar of data to summarize.</dd>


<dt>group_cols</dt>
<dd>A character vector of column(s) that describe groups to
summarize across.</dd>


<dt>.fns</dt>
<dd>A list of functions (default <code>list(mean = mean)</code>).</dd>


<dt>cor</dt>
<dd>A logical (default <code>FALSE</code>) for whether to include correlations
between all features in the summarization.</dd>


<dt>...</dt>
<dd>Arguments passed to or from other methods.</dd>

</dl>

summarize_samples: Summarize data across functions

Description

Usage

Value

Arguments

Methods (by class)

Author

Examples