key_slope

add_key_slope

add_key_slope.default

Using <code>key_slope</code> you can fit a linear model to each key in the <code>tsibble</code>.
<code>add_key_slope</code> adds this slope information back to the data, and returns
the full dimension <code>tsibble</code>.

Provides a framework of tools to summarise, visualise, and explore
longitudinal data. It builds upon the tidy time series data frames used in the
'tsibble' package, and is designed to integrate within the 'tidyverse', and
'tidyverts' (for time series) ecosystems. The methods implemented include
calculating features for understanding longitudinal data, including
calculating summary statistics such as quantiles, medians, and numeric ranges,
sampling individual series, identifying individual series representative of a
group, and extending the facet system in 'ggplot2' to facilitate exploration of samples of data. These methods are
fully described in the paper "brolgar: An R package to Browse Over
Longitudinal Data Graphically and Analytically in R", Nicholas Tierney,
Dianne Cook, Tania Prvan (2020) <arXiv:2012.01619>.

Nicholas Tierney

brolgar

Browse Over Longitudinal Data Graphically and Analytically in R

Di Cook

Tania Prvan

Stuart Lee

Earo Wang

key_slope function

<dl><dt>.data</dt>
<dd>tsibble</dd>
<dt>formula</dt>
<dd>formula</dd>
<dt>...</dt>
<dd>extra arguments</dd></dl>

Arguments

Fit linear model for each key — key_slope

<dl>

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


<dt>formula</dt>
<dd>formula</dd>


<dt>...</dt>
<dd>extra arguments</dd>

</dl>

key_slope: Fit linear model for each key

Description

Usage

Value

Arguments

Examples