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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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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). |
format | Online Article Text |
id | pubmed-4890079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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