multivrealdataset

This dataset is provided for illustration only and represents the three
acceleration components recorded over time with body mounted accelerometers
during the activity of a given person. These data consist therefore of multidimensional time series with
several regime changes over time, each regime is associated with an activity.

datasets

Provides a variety of original and flexible user-friendly
statistical latent variable models and unsupervised learning algorithms to
segment and represent time-series data (univariate or multivariate), and
more generally, longitudinal data, which include regime changes.
'samurais' is built upon the following packages, each of them is an
autonomous time-series segmentation approach: Regression with Hidden
Logistic Process ('RHLP'), Hidden Markov Model Regression ('HMMR'),
Multivariate 'RHLP' ('MRHLP'), Multivariate 'HMMR' ('MHMMR'), Piece-Wise
regression ('PWR'). For the advantages/differences of each of them, the
user is referred to our mentioned paper references.

Florian Lecocq

samurais

Statistical Models for the Unsupervised Segmentation of
Time-Series ('SaMUraiS')

Faicel Chamroukhi

Marius Bartcus

multivrealdataset function

A data frame with 2253 rows and 4 columns:<dl class="dl-horizontal">
<dt>x</dt><dd>The covariate variable (the sampling time).</dd>
<dt>y1</dt><dd>X axis component of the acceleration.</dd>
<dt>y2</dt><dd>Y axis component of the acceleration.</dd>
<dt>y3</dt><dd>Z axis component of the acceleration.</dd>
</dl>

Format

Time series representing the three acceleration components recorded over time
with body mounted accelerometers during the activity of a given person. — multivrealdataset

A data frame with 2253 rows and 4 columns:<dl class='dl-horizontal'>
<dt>x</dt><dd>The covariate variable (the sampling time).</dd>
<dt>y1</dt><dd>X axis component of the acceleration.</dd>
<dt>y2</dt><dd>Y axis component of the acceleration.</dd>
<dt>y3</dt><dd>Z axis component of the acceleration.</dd>
</dl>

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multivrealdataset: Time series representing the three acceleration components recorded over time with body mounted accelerometers during the activity of a given person.

Description

Usage

Arguments

Format