Package: forceplate 1.1-5

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>.

Authors:Raphael Hartmann [aut, cre], Anton Koger [aut, ctb], Leif Johannsen [ctb]

forceplate_1.1-5.tar.gz
forceplate_1.1-5.zip(r-4.7)forceplate_1.1-5.zip(r-4.6)forceplate_1.1-5.zip(r-4.5)
forceplate_1.1-5.tgz(r-4.6-any)forceplate_1.1-5.tgz(r-4.5-any)
forceplate_1.1-5.tar.gz(r-4.7-any)forceplate_1.1-5.tar.gz(r-4.6-any)
forceplate_1.1-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
forceplate/json (API)

# Install 'forceplate' in R:
install.packages('forceplate', repos = c('https://raphaelhartmann.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/raphaelhartmann/forceplate/issues

On CRAN:

Conda:

3.00 score 186 downloads 4 exports 4 dependencies

Last updated from:9a9cb0b981. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK106
source / vignettesOK166
linux-release-x86_64OK132
macos-release-arm64OK140
macos-oldrel-arm64OK168
windows-develOK88
windows-releaseOK62
windows-oldrelOK95
wasm-releaseOK92

Exports:combine_dataprep_exp_datasegment_fp_datatime_lock_stats

Dependencies:data.tableMASSsignalstringi