doi:10.17605/OSF.IO/KS325>, while example analyses can be found in Clayton, Jakubowski, and Eerola (2019) <doi:10.1177/1029864919844809>. Additionally, wavelet analysis techniques have been applied to examine movement-related musical interactions, as shown in Eerola et al. (2018) <doi:10.1098/rsos.171520>.">

movementsync: Analysis and Visualisation of Musical Audio and Video Movement Synchrony Data (original) (raw)

Analysis and visualisation of synchrony, interaction, and joint movements from audio and video movement data of a group of music performers. The demo is data described in Clayton, Leante, and Tarsitani (2021) <doi:10.17605/OSF.IO/KS325>, while example analyses can be found in Clayton, Jakubowski, and Eerola (2019) <doi:10.1177/1029864919844809>. Additionally, wavelet analysis techniques have been applied to examine movement-related musical interactions, as shown in Eerola et al. (2018) <doi:10.1098/rsos.171520>.

Version: 0.1.5
Depends: R (≥ 2.10)
Imports: circular, dplyr, ggplot2, gridExtra, hms, igraph, lmtest, methods, osfr, rlang, scales, signal, tidyr, WaveletComp, zoo
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-07-30
DOI: 10.32614/CRAN.package.movementsync
Author: Tuomas Eerola ORCID iD [aut, cre, cph], Martin Clayton ORCID iD [aut], Paul Emms [aut]
Maintainer: Tuomas Eerola <tuomas.eerola at durham.ac.uk>
License: MIT + file
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: movementsync results

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