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  "Title": "Processing Force-Plate Data",
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  "Authors@R": "c(person(\"Raphael\", \"Hartmann\", , \"raphael.hartmann@protonmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-4686-9329\")),\nperson(\"Anton\", \"Koger\", , \"anton.koger@psych.rwth-aachen.de\", role = c(\"aut\", \"ctb\"), comment = c(ORCID = \"0009-0004-6906-5184\")),\nperson(\"Leif\", \"Johannsen\", , \"leif.johannsen@psych.rwth-aachen.de\", role = c(\"ctb\")))",
  "Description": "Process raw force-plate data (txt-files) by segmenting\nthem into trials and, if needed, calculating (user-defined)\ndescriptive statistics of variables for user-defined time bins\n(relative to trigger onsets) for each trial. When segmenting\nthe data a baseline correction, a filter, and a data imputation\ncan be applied if needed. Experimental data can also be\nprocessed and combined with the segmented force-plate data.\nThis procedure is suggested by Johannsen et al. (2023)\n<doi:10.6084/m9.figshare.22190155> and some of the options\n(e.g., choice of low-pass filter) are also suggested by Winter\n(2009) <doi:10.1002/9780470549148>.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "URL": "https://github.com/RaphaelHartmann/forceplate",
  "BugReports": "https://github.com/RaphaelHartmann/forceplate/issues",
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  "Date/Publication": "2025-12-12 10:11:03 UTC",
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