RapResults: Create RapResults object
In raptr: Representative and Adequate Prioritization Toolkit in R

RapResults

R Documentation

Create RapResults object

This function creates a new RapResults() object.

RapResults(
  summary,
  selections,
  amount.held,
  space.held,
  logging.file,
  .cache = new.env()
)

`summary`	`base::data.frame()` with summary information on solutions. See details below for more information.
`selections`	`base::matrix()` with binary selections. The cell `x_{ij}` denotes if planning unit `j` is selected in the `i`'th solution.
`amount.held`	`base::matrix()` with the amount held for each species in each solution.
`space.held`	`base::matrix()` with the proportion of attribute space sampled for each species in each solution.
`logging.file`	`character` Gurobi log files.
`.cache`	`base::environment()` used to cache calculations.

The summary table follows Marxan conventions ( https://marxansolutions.org/). The columns are:

Run_Number: The index of each solution in the object.
Status: The status of the solution. The values in this column correspond to outputs from the Gurobi software package (https://www.gurobi.com/documentation/6.5/refman/optimization_status_codes.html).
Score: The objective function for the solution.
Cost: Total cost associated with a solution.
Planning_Units: Number of planning units selected in a solution.
Connectivity_Total: The total amount of shared boundary length between all planning units. All solutions in the same object should have equal values for this column.
Connectivity_In: The amount of shared boundary length among planning units selected in the solution.
Connectivity_Edge: The amount of exposed boundary length in the solution.
Connectivity_Out: The number of shared boundary length among planning units not selected in the solution.
Connectivity_Fraction: The ratio of shared boundary length in the solution (Connectivity_In) to the total amount of boundary length (Connectivity_Edge). This ratio is an indicator of solution quality. Solutions with a lower ratio will have less planning units and will be more efficient.

RapResults object

slot best is automatically determined based on data in summary.