simData

datasets

Consolidates and calculates different sets of time-series features from multiple
'R' and 'Python' packages including 'Rcatch22' Henderson, T. (2021) <doi:10.5281/zenodo.5546815>,
'feasts' O'Hara-Wild, M., Hyndman, R., and Wang, E. (2021) <https://CRAN.R-project.org/package=feasts>,
'tsfeatures' Hyndman, R., Kang, Y., Montero-Manso, P., Talagala, T., Wang, E., Yang, Y., and O'Hara-Wild, M. (2020)
<https://CRAN.R-project.org/package=tsfeatures>, 'tsfresh' Christ, M., Braun, N., Neuffer, J.,
and Kempa-Liehr A.W. (2018) <doi:10.1016/j.neucom.2018.03.067>, 'TSFEL' Barandas, M., et al. (2020)
<doi:10.1016/j.softx.2020.100456>, and 'Kats' Facebook Infrastructure Data Science (2021)
<https://facebookresearch.github.io/Kats/>.

Trent Henderson

theft

Tools for Handling Extraction of Features from Time Series

Annie Bryant

simData function

A tidy tsibble with 4 variables:<dl>
 <dt>id</dt>
<dd>Unique identifier for the time series</dd> <dt>timepoint</dt>
<dd>Time index</dd> <dt>values</dt>
<dd>Value</dd> <dt>process</dt>
<dd>Group label for the type of time series</dd>
</dl>

Format

Sample of randomly-generated time series to produce function tests and vignettes — simData

A tidy tsibble with 4 variables:<dl>
 <dt>id</dt>
<dd>Unique identifier for the time series</dd>

 <dt>timepoint</dt>
<dd>Time index</dd>

 <dt>values</dt>
<dd>Value</dd>

 <dt>process</dt>
<dd>Group label for the type of time series</dd>


</dl>

simData: Sample of randomly-generated time series to produce function tests and vignettes

Description

Usage

Arguments

Format