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forceplate  

Processing Force-Plate Data
View on CRAN: Click here


Download and install forceplate package within the R console
Install from CRAN:
install.packages("forceplate")

Install from Github:
library("remotes")
install_github("cran/forceplate")

Install by package version:
library("remotes")
install_version("forceplate", "1.1-4")



Attach the package and use:
library("forceplate")
Maintained by
Raphae Hartmann
[Scholar Profile | Author Map]
First Published: 2023-12-19
Latest Update: 2024-02-23
Description:
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) and some of the options (e.g., choice of low-pass filter) are also suggested by Winter (2009) .
How to cite:
Raphae Hartmann (2023). forceplate: Processing Force-Plate Data. R package version 1.1-4, https://cran.r-project.org/web/packages/forceplate. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.0-0 (2023-12-19 17:30), 1.1-0 (2024-01-31 13:20), 1.1-1 (2024-02-23 15:50), 1.1-3 (2024-03-12 14:00)
Other packages that cited forceplate R package
View forceplate citation profile
Other R packages that forceplate depends, imports, suggests or enhances
Complete documentation for forceplate
Functions, R codes and Examples using the forceplate R package
Some associated functions: combine_data . prep_exp_data . segment_fp_data . time_lock_stats . 
Some associated R codes: checks.R . combine_data.R . generic.R . prep_bw_data.R . prep_exp_data.R . time_lock_bioware.R . tools.R .  Full forceplate package functions and examples
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