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Area of Resilience to Stress Event
A method for quantifying resilience after a stress event. A set of
functions calculate the area of resilience that is created by the
departure of baseline ‘y’ (i.e., robustness) and the time taken ‘x’ to
return to baseline (i.e., rapidity) after a stress event using the
Cartesian coordinates of the data. The arse package has the
capability to calculate areas of resilience, growth, and cases in which
resilience is not achieved (e.g., diminished performance without return
to baseline).
To study the area of resilience to stress event (arse),
three things must be in place: (a) a baseline value (before the stress
event) of a variable of interest ‘y’ needs to be known, (b) an incursion
of a stress event needs to occur on an entity (e.g., individual, group),
and (c) the variable of interest ‘y’ needs to be measured repeatedly
after the incursion of a stress event. Thus, arse is the function of how
much the variable ‘y’ decreases from baseline levels after a stress
event (i.e., robustness) and the time it takes ‘y’ to return to baseline
levels (i.e., rapidity). The combination of robustness and rapidity form
a series of points that can be connected into an irregular polygon from
which an area can be derived. It is this area, arse, that is indicative
of how much resilience is demonstrated to a stress event where smaller
values of arse indicate better resilience and larger values indicate
worse resilience.
The current official (i.e., CRAN) release can be installed directly within R with:
install.packages(‘arse’)
After installing the devtools package with install.packages(“devtools”), the development version of the arse package can be installed with:
devtools::install_github(“nr3xe/arse”)
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.