Function gives overview of which taxa are missing traits.
trait_missing(filled_trait, comm)output of trait_fill function.
community data
A tibble with columns
#'
Taxon Species names (actual name depends on taxon_col
argument to trait_fill())
max_abun Maximum abundance of that taxa. Be more concerned about taxa missing traits with high abundances.
n Number of occurrences of the taxon. Be more concerned about taxa missing traits with many occurrences.
n_traits Number of traits for each species. Ideally all should equal the number of traits you have measured.
data(community)
data(trait)
filled_traits <- trait_fill(
comm = community, traits = trait,
scale_hierarchy = c("Site", "PlotID"),
taxon_col = "Taxon", value_col = "Value",
trait_col = "Trait", abundance_col = "Cover"
)
trait_missing(filled_traits, community)
#> # A tibble: 20 × 4
#> # Groups: Taxon, max_abun [20]
#> Taxon max_abun n n_traits
#> <chr> <dbl> <int> <int>
#> 1 alopecurus ovatus 2 5 3
#> 2 bistorta vivipara 25 14 3
#> 3 calamagrostis neglecta 60 4 3
#> 4 cassiope tetragona 5 3 3
#> 5 dryas octopetala 20 9 3
#> 6 equisetum scirpoides 2 6 3
#> 7 festuca rubra 1 7 3
#> 8 juncus biglumis 0.5 2 0
#> 9 luzula confusa 5 10 3
#> 10 luzula nivalis 5 8 3
#> 11 micranthes hieracifolia 0.5 2 0
#> 12 oxyria digyna 2 5 3
#> 13 poa pratensis 1 6 3
#> 14 salix polaris 43 14 3
#> 15 saxifraga hirculus 2 3 3
#> 16 saxifraga oppositifolia 2 1 3
#> 17 silene acaulis 1 1 3
#> 18 stellaria humifusa 0.5 1 0
#> 19 stellaria longipes 0.1 4 0
#> 20 trisetum spicatum 3 5 3