Force Measurement Analyses

Documentation for package ‘forceR’ version 1.0.20

amp_drift_corr	Charge Amplifier Drift Correction
avg_peaks	Average Curves per Group
baseline_corr	Automatic or Manual Baseline Correction of Time Series
classifier	Classifier
convert_measurement	Converts LJStream *.dat file to standard time series.
correct_peak	Manually Correct Single Peak
crop_measurement	Crop Time Series
df.all	Simulated Force Measurements with Taxonomic Info.
df.all.200	Simulated Time Series - e.g. Bite Force Measurements
df.all.200.tax	Simulated Force Measurements with Taxonomic Info.
find_best_fits	Find Best Polynomial Fits for Curves
find_strongest_peaks	Find Peaks
forceR_example	Get path to forceR example
load_mult	Load Multiple Measurements
load_single	Load single measurement
models	Polynomial Models Describing Average Peak Shapes.
peaks.df	Starts and Ends of the 5 Strongest Peaks
peaks.df.100.avg	Average Peak Shapes per Species
peaks.df.norm	Normalized Peak Shapes
peaks.df.norm.100	Normalized Peak Shapes with 100 Observations
peak_duration_max_force	Peak Duration and Maximum Force
peak_to_poly	Convert Time Series to Polynomial
plot_measurement	Plot raw measurement
plot_peaks	Plot Peaks
print_progress	Print progress
reduce_frq	Reduce Sampling Frequency
red_peaks_100	Reduce Peaks
rescale_peaks	Rescale Peaks
rescale_to_range	Scale data series to new minimum and maximum
simulate_bites	Simulate bites
sort_files	Sorts files after corrections
summarize_measurements	Summarize Table
today	Get Today's Date as String
y_to_force	Convert Time Series to Force