Other packages > Find by keyword >

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", "1.1-5")



Attach the package and use:
library("forceplate")
Maintained by
Raphae Hartmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-19
Latest Update: 2025-03-19
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 1.1-5, https://cran.r-project.org/web/packages/forceplate. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:39), 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), 1.1-4 (2025-03-19 16:00)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA