Prints objects.

# S3 method for AttributeSpace
print(x, ..., header = TRUE)

# S3 method for AttributeSpaces
print(x, ..., header = TRUE)

# S3 method for GurobiOpts
print(x, ..., header = TRUE)

# S3 method for ManualOpts
print(x, ..., header = TRUE)

# S3 method for RapData
print(x, ..., header = TRUE)

# S3 method for RapReliableOpts
print(x, ..., header = TRUE)

# S3 method for RapResults
print(x, ..., header = TRUE)

# S3 method for RapUnreliableOpts
print(x, ..., header = TRUE)

# S3 method for RapUnsolved
print(x, ...)

# S3 method for RapSolved
print(x, ...)

Arguments

x

GurobiOpts(), RapUnreliableOpts(), RapReliableOpts(), RapData(), RapUnsolved(), RapResults(), or RapSolved() object.

...

not used.

header

logical should object header be included?

See also

Examples

# load data data(sim_ru, sim_rs) # print GurobiOpts object print(GurobiOpts())
#> GurobiOpts object.
#> Threads: 1
#> MIPGap: 0.1
#> Method: 0
#> Presolve: 2
#> TimeLimit: NA
#> NumberSolutions: 1
#> MultipleSolutionsMethod: benders.cuts
# print RapReliableOpts object print(RapReliableOpts())
#> RapReliableOpts object.
#> BLM: 0
#> failure.multiplier: 1.1
#> max.r.level: 5
# print RapUnreliableOpts object print(RapUnreliableOpts())
#> RapUnreliableOpts object.
#> BLM: 0
# print RapData object print(sim_ru@data)
#> RapData object.
#> Number of planning units: 100
#> Number of species: 3
#> Number of attribute spaces: 1
# print RapUnsolved object print(sim_ru)
#> RapUnsolved object
#> Parameters
#> BLM: 0
#> Data
#> Number of planning units: 100
#> Number of species: 3
#> Number of attribute spaces: 1
# print RapResults object print(sim_rs@results)
#> RapResults object.
#> Number of solutions: 3
#> Best solution score: 20 (20 planning units)
# print RapSolved object print(sim_rs)
#> RapSolved object
#> Parameters
#> BLM: 0
#> Solver settings
#> Method: Gurobi
#> Threads: 1
#> MIPGap: 0.1
#> Method: 0
#> Presolve: 2
#> TimeLimit: NA
#> NumberSolutions: 3
#> MultipleSolutionsMethod: benders.cuts
#> Data
#> Number of planning units: 100
#> Number of species: 3
#> Number of attribute spaces: 1
#> Results
#> Number of solutions: 3
#> Best solution score: 20 (20 planning units)