agg_by_group

This function performs operations by grouping the data.

Frequently one needs a convenient way to build and tune
several models in one go.The goal is to provide a number of machine learning convenience
functions. It provides the ability to build, tune and obtain predictions of
several models in one function. The models are built using functions from
'caret' with easier to read syntax.
Kuhn(2014) <doi:10.48550/arXiv.1405.6974>.

Nelson Gonzabato

manymodelr

Build and Tune Several Models

agg_by_group function

<dl><dt>data_set</dt>
<dd>The data set for which correlations are required</dd>
<dt>my_formula</dt>
<dd>A formula such as A~B where B is the grouping variable(normally a factor).
See examples below</dd>
<dt>func</dt>
<dd>The kind of operation e.g sum,mean,min,max,manymodelr::get_mode</dd>
<dt>...</dt>
<dd>Other arguments to 'aggregate' see ?aggregate for details</dd></dl>

Arguments

A convenient way to perform grouped operations — agg_by_group

<dl>

<dt>data_set</dt>
<dd>The data set for which correlations are required</dd>


<dt>my_formula</dt>
<dd>A formula such as A~B where B is the grouping variable(normally a factor).
See examples below</dd>


<dt>func</dt>
<dd>The kind of operation e.g sum,mean,min,max,manymodelr::get_mode</dd>


<dt>...</dt>
<dd>Other arguments to 'aggregate' see ?aggregate for details</dd>

</dl>

agg_by_group: A convenient way to perform grouped operations

Description

Usage

Value

Arguments

Examples