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Direct Match Species & Genus Binomial or Trinomial names

Source: R/direct_match.R
wcvp_direct_match.Rd

[Experimental]

Tries to directly match Genus + Species | Genus + Species + Rank + Infraspecies to WCVP data.

Usage

wcvp_direct_match(df, target_df = NULL)

Arguments

df

tibble containing the species binomial split into the columns Orig.Genus and Orig.Species.

target_df

Optional custom target table. If NULL, the optional wcvpdata checklist is used when available; otherwise pass a backbone explicitly.

Value

Returns a tibble with the additional logical column direct_match, indicating whether the binomial was successfully matched (TRUE) or not (FALSE). Returns original columns plus Matched.Genus, Matched.Species, Matched.Infra.Rank, and Matched.Infraspecies.

Examples

# \donttest{
library(wcvpmatch)
# Simple binomial match
df_parsed <- classify_spnames("Opuntia yanganucensis")
wcvp_direct_match(df_parsed)
#> # A tibble: 1 × 23
#>   sorter Input.Name   Orig.Name Orig.Genus Orig.Species Author Orig.Infraspecies
#>    <dbl> <chr>        <chr>     <chr>      <chr>        <chr>  <chr>            
#> 1      1 Opuntia yan… Opuntia … Opuntia    yanganucens… ""     NA               
#> # ℹ 16 more variables: Infra.Rank <chr>, Rank <dbl>, has_cf <lgl>,
#> #   has_aff <lgl>, is_sp <lgl>, is_spp <lgl>, had_hybrid <lgl>,
#> #   rank_late <lgl>, rank_missing_infra <lgl>, had_na_author <lgl>,
#> #   implied_infra <lgl>, direct_match <lgl>, Matched.Genus <chr>,
#> #   Matched.Species <chr>, Matched.Infraspecies <chr>, Matched.Infra.Rank <chr>
# }