aggregate_key

Uses the structural specification given in <code>.spec</code> to aggregate a time
series. A grouped structure is specified using <code>grp1 * grp2</code>, and a nested
structure is specified via <code>parent / child</code>. Aggregating the key structure is
commonly used with forecast reconciliation to produce coherent forecasts over
some hierarchy.

Provides tools, helpers and data structures for
developing models and time series functions for 'fable' and extension
packages. These tools support a consistent and tidy interface for time
series modelling and analysis.

Mitchell O'Hara-Wild

fabletools

Core Tools for Packages in the 'fable' Framework

Rob Hyndman

Earo Wang

Di Cook

George Athanasopoulos

David Holt

aggregate_key function

<dl><dt>.data</dt>
<dd>A tsibble.</dd>
<dt>.spec</dt>
<dd>The specification of aggregation structure.</dd>
<dt>...</dt>
<dd>&lt;<code>data-masking</code>&gt; Name-value pairs of
summary functions. The name will be the name of the variable in the result.
The value can be:<ul>
<li>A vector of length 1, e.g. <code>min(x)</code>, <code>n()</code>, or <code>sum(is.na(y))</code>.</li>
<li>A data frame with 1 row, to add multiple columns from a single expression.</li>
</ul></dd></dl>

Arguments

Expand a dataset to include other levels of aggregation — aggregate_key

<dl>

<dt>.data</dt>
<dd>A tsibble.</dd>


<dt>.spec</dt>
<dd>The specification of aggregation structure.</dd>


<dt>...</dt>
<dd>&lt;<code>data-masking</code>&gt; Name-value pairs of
summary functions. The name will be the name of the variable in the result.
The value can be:<ul>
<li>A vector of length 1, e.g. <code>min(x)</code>, <code>n()</code>, or <code>sum(is.na(y))</code>.</li>
<li>A data frame with 1 row, to add multiple columns from a single expression.</li>
</ul></dd>

</dl>

aggregate_key: Expand a dataset to include other levels of aggregation

Description

Usage

Arguments

Details

See Also

Examples