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forceR
View on CRAN: Click
here
Download and install forceR package within the R console
Install from CRAN:
install.packages("forceR")
Install from Github:
library("remotes")
install_github("cran/forceR") Install by package version:
library("remotes")
install_version("forceR", "1.0.20") Attach the package and use:
library("forceR")
Maintained by
Peter T. Rühr
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-02
Latest Update: 2023-03-01
Description:
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.
How to cite:
Peter T. Rühr (2022). forceR: Force Measurement Analyses. R package version 1.0.20, https://cran.r-project.org/web/packages/forceR. Accessed 02 Nov. 2026.
Previous versions and publish date:
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Other R packages that forceR depends,
imports, suggests or enhances
Complete documentation for forceR
Functions, R codes and Examples using
the forceR R package
Some associated functions: amp_drift_corr . avg_peaks . baseline_corr . classifier . convert_measurement . correct_peak . crop_measurement . df.all.200 . df.all.200.tax . df.all . find_best_fits . find_strongest_peaks . forceR_example . load_mult . load_single . models . peak_duration_max_force . peak_to_poly . peaks.df.100.avg . peaks.df.norm.100 . peaks.df.norm . peaks.df . plot_measurement . plot_peaks . print_progress . red_peaks_100 . reduce_frq . rescale_peaks . rescale_to_range . simulate_bites . sort_files . summarize_measurements . today . y_to_force .
Some associated R codes: cropping.R . data.R . drift_corrections_03.R . file_sorting.R . general.R . loading.R . normalization.R . peak_finding.R . plotting.R . polynomial.R . summarizing.R . time_series_manipulations.R . Full forceR package functions and examples
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