Several functions to compute indicators for organization and efficiency in visual foraging, multi-target visual search, and cancellation tasks. The current version of this package includes the following indicators: best-r, mean Inter-target Distance, Percentage Above Optimal (PAO) scan path, and intersections in the scan path. For more detailed descriptions, see Mark et al. (2004) <doi:10.1212/01.WNL.0000131947.08670.D4>.

SHE, FORAM Index and ABC Method analyses and custom plot
        functions for community data.

Helpers for reordering factor levels (including moving
    specified levels to front, ordering by first appearance, reversing,
    and randomly shuffling), and tools for modifying factor levels
    (including collapsing rare levels into other, 'anonymising', and
    manually 'recoding').

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>.

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.

Support for the foreach looping construct.  Foreach is an
        idiom that allows for iterating over elements in a collection,
        without the use of an explicit loop counter.  This package in
        particular is intended to be used for its return value, rather
        than for its side effects.  In that sense, it is similar to the
        standard lapply function, but doesn't require the evaluation
        of a function.  Using foreach without side effects also
        facilitates executing the loop in parallel.