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forceR: Force Measurement Analyses

For cleaning and analysis of graphs, such as animal closing force measurements. 'forceR' was initially written and optimized to deal with insect bite force measurements, but can be used for any time series. Includes a full workflow to load, plot and crop data, correct amplifier and baseline drifts, identify individual peak shapes (bites), rescale (normalize) peak curves, and find best polynomial fits to describe and analyze force curve shapes.

Version: 1.0.20
Depends: R (≥ 4.2)
Imports: dplyr, graphics, grDevices, filesstrings, magrittr, purrr, readr, roll, stats, stringr
Suggests: ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-03-01
DOI: 10.32614/CRAN.package.forceR
Author: Peter T. Rühr ORCID iD [aut, cre], Alexander Blanke ORCID iD [ctb]
Maintainer: Peter T. Rühr <peter.ruehr at gmail.com>
BugReports: https://github.com/Peter-T-Ruehr/forceR/issues
License: MIT + file LICENSE
URL: https://github.com/Peter-T-Ruehr/forceR
NeedsCompilation: no
Citation: forceR citation info
Materials: README NEWS
CRAN checks: forceR results

Documentation:

Reference manual: forceR.pdf
Vignettes: forceR

Downloads:

Package source: forceR_1.0.20.tar.gz
Windows binaries: r-devel: forceR_1.0.20.zip, r-release: forceR_1.0.20.zip, r-oldrel: forceR_1.0.20.zip
macOS binaries: r-release (arm64): forceR_1.0.20.tgz, r-oldrel (arm64): forceR_1.0.20.tgz, r-release (x86_64): forceR_1.0.20.tgz, r-oldrel (x86_64): forceR_1.0.20.tgz
Old sources: forceR archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.