compute_breaks

A <code><a rd-options="" href="/link/trackeRdata?package=trackeR&version=1.5.2" data-mini-rdoc="trackeR::trackeRdata">trackeRdata</a></code> object.

object

The levels at which quantiles will be computed are
<code>a</code> and <code>1 - a</code>. Default is <code>a = 0.0001</code>.

A scalar determining the number of breakpoints to
be computed

n_breaks

A list of a vectors, each specifying the lower and
upper limit for each variable to be used when computing the
grid. Default is <code>NULL</code>, in which case
<code><a rd-options="" href="/link/compute_limits?package=trackeR&version=1.5.2" data-mini-rdoc="trackeR::compute_limits">compute_limits</a></code> is used.

limits

The variables for which a grid of breakpoints should be
computed. Defaults to <code>c("speed", "heart_rate")</code>.

what

Compute a grid of breakpoints per variable from a <code>trackeRdata</code> object.

Provides infrastructure for handling running, cycling and swimming data from GPS-enabled tracking devices within R. The package provides methods to extract, clean and organise workout and competition data into session-based and unit-aware data objects of class 'trackeRdata' (S3 class). The information can then be visualised, summarised, and analysed through flexible and extensible methods. Frick and Kosmidis (2017) <doi: 10.18637/jss.v082.i07>, which is updated and maintained as one of the vignettes, provides detailed descriptions of the package and its methods, and real-data demonstrations of the package functionality.

Ioannis Kosmidis

trackeR

Infrastructure for Running, Cycling and Swimming Data from
GPS-Enabled Tracking Devices

Hannah Frick

Robin Hornak

compute_breaks function

<dl><dt>object</dt>
<dd>A <code>trackeRdata</code> object.</dd>
<dt>a</dt>
<dd>The levels at which quantiles will be computed are
<code>a</code> and <code>1 - a</code>. Default is <code>a = 0.0001</code>.</dd>
<dt>n_breaks</dt>
<dd>A scalar determining the number of breakpoints to
be computed</dd>
<dt>limits</dt>
<dd>A list of a vectors, each specifying the lower and
upper limit for each variable to be used when computing the
grid. Default is <code>NULL</code>, in which case
<code>compute_limits</code> is used.</dd>
<dt>what</dt>
<dd>The variables for which a grid of breakpoints should be
computed. Defaults to <code>c("speed", "heart_rate")</code>.</dd></dl>

Arguments

Compute a grid of breakpoints per variable from a trackeRdata object. — compute_breaks

<dl>

<dt>object</dt>
<dd>A <code>trackeRdata</code> object.</dd>


<dt>a</dt>
<dd>The levels at which quantiles will be computed are
<code>a</code> and <code>1 - a</code>. Default is <code>a = 0.0001</code>.</dd>


<dt>n_breaks</dt>
<dd>A scalar determining the number of breakpoints to
be computed</dd>


<dt>limits</dt>
<dd>A list of a vectors, each specifying the lower and
upper limit for each variable to be used when computing the
grid. Default is <code>NULL</code>, in which case
<code>compute_limits</code> is used.</dd>


<dt>what</dt>
<dd>The variables for which a grid of breakpoints should be
computed. Defaults to <code>c("speed", "heart_rate")</code>.</dd>

</dl>

compute_breaks: Compute a grid of breakpoints per variable from a `trackeRdata` object.

Description

Usage

Value

Arguments

Examples