Print content of nl object and embedded experiment and simdesign objects to console
Usage
# S3 method for class 'nl'
print(x, ...)Examples
print(nl_lhs)
#>
#> NL OBJECT
#> NetLogo version = 6.0.4
#> NetLogo path = C:/Program Files/NetLogo 6.0.4/
#> Model path = C:/Program Files/NetLogo 6.0.4/app/models/Sample Models/Biology/Wolf Sheep Predation.nlogo
#> JVM memory = 1000
#>
#> EXPERIMENT
#> Experiment name = nlrx
#> Output path = C:/out
#> NetLogo repetitions = 1
#> Measure on each tick? = false
#> Setup procedure(s) = setup
#> Go procedure(s) = go
#> Final procedure(s) = NA
#> Run nr. widget name = NA
#> Runtime (ticks) = 10
#> Report output on ticks = 10
#> Stop condition = NA
#> Metrics (output) = count sheep, count wolves
#>
#> Turtle metrics (output)
#> =
#>
#> Patch metrics (output)
#> NA
#>
#> Link metrics (output)
#> =
#>
#> Variable parameters (input)
#> initial-number-sheep = list(min = 50, max = 150, step = 10, qfun = "qunif")
#> initial-number-wolves = list(min = 50, max = 150, step = 10, qfun = "qunif")
#>
#> Constant parameters (input)
#> model-version = "sheep-wolves-grass"
#> grass-regrowth-time = 30
#> sheep-gain-from-food = 4
#> wolf-gain-from-food = 20
#> sheep-reproduce = 4
#> wolf-reproduce = 5
#> show-energy? = false
#>
#> SIMDESIGN
#> Simulation method = lhs
#> Simulation object =
#> Generated random seeds = -108303981
#>
#> Parameter matrix (input)
#> # A tibble: 100 × 9
#> `initial-number-sheep` `initial-number-wolves` `model-version`
#> <dbl> <dbl> <chr>
#> 1 117. 109. "\"sheep-wolves-grass\""
#> 2 99.6 56.1 "\"sheep-wolves-grass\""
#> 3 91.7 82.3 "\"sheep-wolves-grass\""
#> 4 115. 57.5 "\"sheep-wolves-grass\""
#> 5 84.6 111. "\"sheep-wolves-grass\""
#> 6 120. 125. "\"sheep-wolves-grass\""
#> 7 54.6 139. "\"sheep-wolves-grass\""
#> 8 90.5 147. "\"sheep-wolves-grass\""
#> 9 50.3 93.7 "\"sheep-wolves-grass\""
#> 10 111. 119. "\"sheep-wolves-grass\""
#> `grass-regrowth-time` `sheep-gain-from-food` `wolf-gain-from-food`
#> <dbl> <dbl> <dbl>
#> 1 30 4 20
#> 2 30 4 20
#> 3 30 4 20
#> 4 30 4 20
#> 5 30 4 20
#> 6 30 4 20
#> 7 30 4 20
#> 8 30 4 20
#> 9 30 4 20
#> 10 30 4 20
#> `sheep-reproduce` `wolf-reproduce` `show-energy?`
#> <dbl> <dbl> <chr>
#> 1 4 5 false
#> 2 4 5 false
#> 3 4 5 false
#> 4 4 5 false
#> 5 4 5 false
#> 6 4 5 false
#> 7 4 5 false
#> 8 4 5 false
#> 9 4 5 false
#> 10 4 5 false
#> # ℹ 90 more rows
#>
#> Simulation results (output)
#> # A tibble: 100 × 15
#> `[run number]` `initial-number-sheep` `initial-number-wolves`
#> <dbl> <dbl> <dbl>
#> 1 1 117. 109.
#> 2 1 99.6 56.1
#> 3 1 91.7 82.3
#> 4 1 115. 57.5
#> 5 1 84.6 111.
#> 6 1 120. 125.
#> 7 1 54.6 139.
#> 8 1 90.5 147.
#> 9 1 50.3 93.7
#> 10 1 111. 119.
#> `model-version` `grass-regrowth-time` `sheep-gain-from-food`
#> <chr> <dbl> <dbl>
#> 1 sheep-wolves-grass 30 4
#> 2 sheep-wolves-grass 30 4
#> 3 sheep-wolves-grass 30 4
#> 4 sheep-wolves-grass 30 4
#> 5 sheep-wolves-grass 30 4
#> 6 sheep-wolves-grass 30 4
#> 7 sheep-wolves-grass 30 4
#> 8 sheep-wolves-grass 30 4
#> 9 sheep-wolves-grass 30 4
#> 10 sheep-wolves-grass 30 4
#> `wolf-gain-from-food` `sheep-reproduce` `wolf-reproduce` `show-energy?`
#> <dbl> <dbl> <dbl> <lgl>
#> 1 20 4 5 FALSE
#> 2 20 4 5 FALSE
#> 3 20 4 5 FALSE
#> 4 20 4 5 FALSE
#> 5 20 4 5 FALSE
#> 6 20 4 5 FALSE
#> 7 20 4 5 FALSE
#> 8 20 4 5 FALSE
#> 9 20 4 5 FALSE
#> 10 20 4 5 FALSE
#> `random-seed` `[step]` `count sheep` `count wolves` siminputrow
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 -108303981 10 102 115 1
#> 2 -108303981 10 80 86 2
#> 3 -108303981 10 78 100 3
#> 4 -108303981 10 101 65 4
#> 5 -108303981 10 78 118 5
#> 6 -108303981 10 93 141 6
#> 7 -108303981 10 42 145 7
#> 8 -108303981 10 64 154 8
#> 9 -108303981 10 37 100 9
#> 10 -108303981 10 76 123 10
#> # ℹ 90 more rows
#>
#> SUMMARY
#> supported nlversion: ✓
#> nlpath exists on local system: ✗
#> modelpath exists on local system: ✗
#> valid jvm memory: ✓
#> valid experiment name: ✓
#> outpath exists on local system: ✗
#> setup and go defined: ✓
#> variables defined: ✓
#> constants defined: ✓
#> metrics defined: ✓
#> spatial Metrics defined: ✓
#> simdesign attached: ✓
#> siminput parameter matrix: ✓
#> number of siminputrows: 100
#> number of random seeds: 1
#> estimated number of runs: 100
#> simoutput results attached: ✓
#> number of runs calculated: 100