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Try to parse scientific names into Genus, species, Subspecies, Author etc.
melt_scientificname( dat, sciname = "", genus = "genus", subgenus = "subgenus", species = "species", subspecies = "subspecies", author = "author", verbose = FALSE )
data frame containing scientific names
column name for scientific names, Default: ''
column name for genus, Default: 'genus'
column name for subgenus, Default: 'subgenus'
column name for species, Default: 'species'
column name for subspecies, Default: 'subspecies'
column name for author, Default: 'author'
verbose output, Default: FALSE
data frame with additional columns for fields
Helpful function to break down Scientific names into Genus, species, Subspecies, Author so that the names can be constructed into canonical names for matching
Other Name functions: build_gen_syn(), cast_canonical(), check_scientific(), expand_name(), get_accepted_names(), guess_taxo_rank(), list_higher_taxo(), melt_canonical()
build_gen_syn()
cast_canonical()
check_scientific()
expand_name()
get_accepted_names()
guess_taxo_rank()
list_higher_taxo()
melt_canonical()
# NOT RUN { if(interactive()){ melt_scientificname(mylist, sciname="Scientific", genus="genus", subgenus="subgenus", species="species",subspecies="subspecies", author="author") } # }
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