Package: forceplate 1.1-3
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:
forceplate_1.1-3.tar.gz
forceplate_1.1-3.zip(r-4.5)forceplate_1.1-3.zip(r-4.4)forceplate_1.1-3.zip(r-4.3)
forceplate_1.1-3.tgz(r-4.4-any)forceplate_1.1-3.tgz(r-4.3-any)
forceplate_1.1-3.tar.gz(r-4.5-noble)forceplate_1.1-3.tar.gz(r-4.4-noble)
forceplate_1.1-3.tgz(r-4.4-emscripten)forceplate_1.1-3.tgz(r-4.3-emscripten)
forceplate.pdf |forceplate.html✨
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
Last updated 8 months agofrom:041a0497d3. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win | OK | Nov 07 2024 |
| R-4.5-linux | OK | Nov 07 2024 |
| R-4.4-win | OK | Nov 07 2024 |
| R-4.4-mac | OK | Nov 07 2024 |
| R-4.3-win | OK | Nov 07 2024 |
| R-4.3-mac | OK | Nov 07 2024 |
Exports:combine_dataprep_exp_datasegment_fp_datatime_lock_stats
Dependencies:data.tableMASSsignalstringi
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Combine Data Tables | combine_data |
| Prepare Experimental Data | prep_exp_data |
| Segmentation to Data per Trial | segment_fp_data |
| Calculate Statistics for Time Locked Bins | time_lock_stats |
