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‘nparACT’ package for R: A free software tool for the non-parametric analysis of actigraphy data

For many studies, participants’ sleep-wake patterns are monitored and recorded prior to, during and following an experimental or clinical intervention using actigraphy, i.e. the recording of data generated by movements. Often, these data are merely inspected visually without computation of descripti...

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Detalles Bibliográficos
Autores principales: Blume, Christine, Santhi, Nayantara, Schabus, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4890079/
https://www.ncbi.nlm.nih.gov/pubmed/27294030
http://dx.doi.org/10.1016/j.mex.2016.05.006
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author Blume, Christine
Santhi, Nayantara
Schabus, Manuel
author_facet Blume, Christine
Santhi, Nayantara
Schabus, Manuel
author_sort Blume, Christine
collection PubMed
description For many studies, participants’ sleep-wake patterns are monitored and recorded prior to, during and following an experimental or clinical intervention using actigraphy, i.e. the recording of data generated by movements. Often, these data are merely inspected visually without computation of descriptive parameters, in part due to the lack of user-friendly software. To address this deficit, we developed a package for R Core Team [6], that allows computing several non-parametric measures from actigraphy data. Specifically, it computes the interdaily stability (IS), intradaily variability (IV) and relative amplitude (RA) of activity and gives the start times and average activity values of M10 (i.e. the ten hours with maximal activity) and L5 (i.e. the five hours with least activity). Two functions compute these ‘classical’ parameters and handle either single or multiple files. Two other functions additionally allow computing an L-value (i.e. the least activity value) for a user-defined time span termed ‘Lflex’ value. A plotting option is included in all functions. The package can be downloaded from the Comprehensive R Archives Network (CRAN). • The package ‘nparACT’ for R serves the non-parametric analysis of actigraphy data. • Computed parameters include interdaily stability (IS), intradaily variability (IV) and relative amplitude (RA) as well as start times and average activity during the 10 h with maximal and the 5 h with minimal activity (i.e. M10 and L5).
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spelling pubmed-48900792016-06-10 ‘nparACT’ package for R: A free software tool for the non-parametric analysis of actigraphy data Blume, Christine Santhi, Nayantara Schabus, Manuel MethodsX Neuroscience For many studies, participants’ sleep-wake patterns are monitored and recorded prior to, during and following an experimental or clinical intervention using actigraphy, i.e. the recording of data generated by movements. Often, these data are merely inspected visually without computation of descriptive parameters, in part due to the lack of user-friendly software. To address this deficit, we developed a package for R Core Team [6], that allows computing several non-parametric measures from actigraphy data. Specifically, it computes the interdaily stability (IS), intradaily variability (IV) and relative amplitude (RA) of activity and gives the start times and average activity values of M10 (i.e. the ten hours with maximal activity) and L5 (i.e. the five hours with least activity). Two functions compute these ‘classical’ parameters and handle either single or multiple files. Two other functions additionally allow computing an L-value (i.e. the least activity value) for a user-defined time span termed ‘Lflex’ value. A plotting option is included in all functions. The package can be downloaded from the Comprehensive R Archives Network (CRAN). • The package ‘nparACT’ for R serves the non-parametric analysis of actigraphy data. • Computed parameters include interdaily stability (IS), intradaily variability (IV) and relative amplitude (RA) as well as start times and average activity during the 10 h with maximal and the 5 h with minimal activity (i.e. M10 and L5). Elsevier 2016-05-24 /pmc/articles/PMC4890079/ /pubmed/27294030 http://dx.doi.org/10.1016/j.mex.2016.05.006 Text en © 2016 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Neuroscience
Blume, Christine
Santhi, Nayantara
Schabus, Manuel
‘nparACT’ package for R: A free software tool for the non-parametric analysis of actigraphy data
title ‘nparACT’ package for R: A free software tool for the non-parametric analysis of actigraphy data
title_full ‘nparACT’ package for R: A free software tool for the non-parametric analysis of actigraphy data
title_fullStr ‘nparACT’ package for R: A free software tool for the non-parametric analysis of actigraphy data
title_full_unstemmed ‘nparACT’ package for R: A free software tool for the non-parametric analysis of actigraphy data
title_short ‘nparACT’ package for R: A free software tool for the non-parametric analysis of actigraphy data
title_sort ‘nparact’ package for r: a free software tool for the non-parametric analysis of actigraphy data
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4890079/
https://www.ncbi.nlm.nih.gov/pubmed/27294030
http://dx.doi.org/10.1016/j.mex.2016.05.006
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