unnest_tsibble

internal

Provides a 'tbl_ts' class (the 'tsibble') for
temporal data in an data- and model-oriented format. The 'tsibble'
provides tools to easily manipulate and analyse temporal data, such as
filling in time gaps and aggregating over calendar periods.

Mitchell O'Hara-Wild

tsibble

Tidy Temporal Data Frames and Tools

Earo Wang

Di Cook

Rob Hyndman

Tyler Smith

Wil Davis

unnest_tsibble function

<dl><dt>data</dt>
<dd>A data frame contains homogenous tsibbles in the list-columns.</dd>
<dt>cols</dt>
<dd>Names of columns to unnest.</dd>
<dt>key</dt>
<dd>&lt;<code><a href="https://dplyr.tidyverse.org/reference/dplyr_tidy_select.html">tidy-select</a></code>&gt; Variable(s) that uniquely
determine time indices. <code>NULL</code> for an empty key, unquoted column names (e.g.
<code>x</code>) for a single variable, and <code><a href="/link/c()?package=tsibble&version=1.2.0" data-mini-rdoc="tsibble::c()">c()</a></code> for multiple variables (e.g. <code>c(x, y)</code>).
This argument also supports <a href="https://tidyselect.r-lib.org/reference/language.html">tidy-select expressions</a>,
e.g. <code><a href="https://dplyr.tidyverse.org/reference/reexports.html">dplyr::starts_with()</a></code>, <code><a href="https://dplyr.tidyverse.org/reference/reexports.html">dplyr::all_of()</a></code>.</dd>
<dt>validate</dt>
<dd><code>TRUE</code> suggests to verify that each key or each combination
of key variables leads to unique time indices (i.e. a valid tsibble). If you
are sure that it's a valid input, specify <code>FALSE</code> to skip the checks.</dd></dl>

Arguments

Unnest a data frame consisting of tsibbles to a tsibble — unnest_tsibble

<dl>

<dt>data</dt>
<dd>A data frame contains homogenous tsibbles in the list-columns.</dd>


<dt>cols</dt>
<dd>Names of columns to unnest.</dd>


<dt>key</dt>
<dd>&lt;<code><a href='https://dplyr.tidyverse.org/reference/dplyr_tidy_select.html'>tidy-select</a></code>&gt; Variable(s) that uniquely
determine time indices. <code>NULL</code> for an empty key, unquoted column names (e.g.
<code>x</code>) for a single variable, and <code><a href='https://rdrr.io/r/base/c.html'>c()</a></code> for multiple variables (e.g. <code>c(x, y)</code>).
This argument also supports <a href='https://tidyselect.r-lib.org/reference/language.html'>tidy-select expressions</a>,
e.g. <code><a href='https://dplyr.tidyverse.org/reference/reexports.html'>dplyr::starts_with()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/reexports.html'>dplyr::all_of()</a></code>.</dd>


<dt>validate</dt>
<dd><code>TRUE</code> suggests to verify that each key or each combination
of key variables leads to unique time indices (i.e. a valid tsibble). If you
are sure that it's a valid input, specify <code>FALSE</code> to skip the checks.</dd>

</dl>

unnest_tsibble: Unnest a data frame consisting of tsibbles to a tsibble

Description

Usage

Arguments