Tools for quickly processing and analyzing 
	field observation data and air quality data. This 
	tools contain functions that facilitate analysis 
	in atmospheric chemistry (especially in ozone 
	pollution). Some functions of time series are also 
	applicable to other fields. For detail please view 
	homepage<https://github.com/tianshu129/foqat>.
	Scientific Reference:
	1. The Hydroxyl Radical (OH) Reactivity: Roger Atkinson and Janet Arey (2003) <doi:10.1021/cr0206420>.
	2. Ozone Formation Potential (OFP): <http://ww2.arb.ca.gov/sites/default/files/barcu/regact/2009/mir2009/mir10.pdf>, Zhang et al.(2021) <doi:10.5194/acp-21-11053-2021>.
	3. Aerosol Formation Potential (AFP): Wenjing Wu et al. (2016) <doi:10.1016/j.jes.2016.03.025>.
	4. TUV model: <https://www2.acom.ucar.edu/modeling/tropospheric-ultraviolet-and-visible-tuv-radiation-model>.

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>.