forceplate: Processing Force-Plate Data

Process raw force-plate data (txt-files) by segmenting them into trials and, if needed, calculating (user-defined) descriptive statistics of variables for user-defined time bins (relative to trigger onsets) for each trial. When segmenting the data a baseline correction, a filter, and a data imputation can be applied if needed. Experimental data can also be processed and combined with the segmented force-plate data. This procedure is suggested by Johannsen et al. (2023) <doi:10.6084/m9.figshare.22190155> and some of the options (e.g., choice of low-pass filter) are also suggested by Winter (2009) <doi:10.1002/9780470549148>.

Version: 1.1-3
Imports: data.table, signal, stats, stringi
Suggests: curl
Published: 2024-03-12
DOI: 10.32614/CRAN.package.forceplate
Author: Raphae Hartmann ORCID iD [aut, cre], Anton Koger ORCID iD [aut, ctb], Leif Johannsen [ctb]
Maintainer: Raphae Hartmann <raphael.hartmann at protonmail.com>
BugReports: https://github.com/RaphaelHartmann/forceplate/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/RaphaelHartmann/forceplate
NeedsCompilation: no
CRAN checks: forceplate results

Documentation:

Reference manual: forceplate.pdf

Downloads:

Package source: forceplate_1.1-3.tar.gz
Windows binaries: r-devel: forceplate_1.1-3.zip, r-release: forceplate_1.1-3.zip, r-oldrel: forceplate_1.1-3.zip
macOS binaries: r-release (arm64): forceplate_1.1-3.tgz, r-oldrel (arm64): forceplate_1.1-3.tgz, r-release (x86_64): forceplate_1.1-3.tgz, r-oldrel (x86_64): forceplate_1.1-3.tgz
Old sources: forceplate archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=forceplate to link to this page.