Read in the functional group file as dataframe.
See also
Other load functions:
load_box(),
load_bps(),
load_dietcheck(),
load_init(),
load_init_age(),
load_mort(),
load_nc(),
load_nc_physics(),
load_rec(),
load_spec_mort(),
load_spec_pred_mort(),
load_txt()
Examples
d <- system.file("extdata", "setas-model-new-trunk", package = "atlantistools")
file <- "SETasGroupsDem_NoCep.csv"
fgs <- load_fgs(file.path(d, file))
head(fgs)
#> Code Index IsTurnedOn Name LongName NumCohorts
#> 1 FPS 1 1 Planktiv_S_Fish Small planktivorous fish 10
#> 2 FVS 2 1 Pisciv_S_Fish Shallow piscivorous fish 10
#> 3 CEP 3 1 Cephalopod Cephalopod 2
#> 4 BML 4 1 Megazoobenthos Megazoobenthos 1
#> 5 PL 5 1 Diatom Diatom 1
#> 6 DL 6 1 Lab_Det Labile detritus 1
#> NumGeneTypes NumStages NumSpawns NumAgeClassSize NumStocks VerticallyMigrates
#> 1 1 2 1 1 1 1
#> 2 1 2 1 1 1 1
#> 3 1 2 1 1 1 1
#> 4 1 1 1 1 1 1
#> 5 1 1 1 1 1 0
#> 6 1 1 1 1 1 0
#> HorizontallyMigrates IsFished IsImpacted isTAC GroupType IsPredator
#> 1 1 1 1 1 FISH 1
#> 2 1 1 1 1 FISH 1
#> 3 1 1 1 1 CEP 1
#> 4 1 1 1 1 MOB_EP_OTHER 1
#> 5 0 0 0 0 LG_PHY 0
#> 6 0 0 0 0 LAB_DET 0
#> IsCover IsSiliconDep IsAssessed IsCatchGrazer OverWinters isCultured
#> 1 0 0 1 0 0 0
#> 2 0 0 1 0 0 0
#> 3 0 0 1 0 0 0
#> 4 0 0 1 0 0 0
#> 5 0 1 1 0 0 0
#> 6 0 0 1 0 0 0
#> isHabDepend
#> 1 0
#> 2 0
#> 3 0
#> 4 0
#> 5 0
#> 6 0