calculate_resilience | R Documentation |
The resilience is calculated based on the shape of the potential landscape and the prior knowledge about the qualitatively different parts of the system. Two resilience indicators are calculated separately, and their difference is used to represent a general resilience of the system in favor of the first phase. Within each phase, the potential difference between the local maximum and the local minimum (if multiple minimums exist, use the one that is further from the other phase; and the local maximum should always be on the side to the other phase) is used to represent the resilience of this phase.
calculate_resilience(l, ...)
## S3 method for class ''2d_Isingland''
calculate_resilience(l, split_value = 0.5 * l$Nvar, ...)
## S3 method for class ''2d_Isingland_matrix''
calculate_resilience(l, split_value = 0.5 * l$Nvar, ...)
l |
An |
... |
Not in use. |
split_value |
An integer to specify the number of active nodes used to split two resilience ranges. Default is half of the number of nodes. |
calculate_resilience.2d_Isingland()
Returns a calculate_resilience.2d_Isingland
project, which contains the following elements:
The distribution tibble which is the same as in the input l
.
The (row)indices in dist
that were used as the positions of the local minimums and maximums in two parts.
The resilience measures for the first (left) part, the second part (right), and their difference.
calculate_resilience.2d_Isingland_matrix()
Returns a resilience_2d_Isingland_matrix
object, which is a tibble containing columns of the varying parameters and a column resilience
of the calculate_resilience.2d_Isingland
objects for each landscape.
When print()
ed, a verbal description of the resilience metrics is shown. Use the summary()
method for a tidy version of the outputs.
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