Skip to contents

Raw and cleaned common names for species managed by the MAFMC across six federal data sets.

Usage

species_list(source = "all")

Arguments

source

Filter to desired data set. source = "all" returns complete list. Options include "nefsc, vtr, observer, landings, mrip, and permits"

Value

Data frame of landings by species, principal port and state, landings, live weight, value, latitude and longitude of principal port.

Examples

species_list(source = "all")
#> Error in dplyr::mutate(data.frame(comname = c("mackerel, atlantic", "mackerel, chub",     "croaker, atlantic", "striped bass", "black sea bass", "tilefish",     "bluefish", "butterfish", "monkfish / anglerfish / goosefish",     "scup / porgy", "dogfish, spiny", "flounder, summer / fluke",     "tilefish, blueline", "mackerel, spanish", "mackerel, king",     "ocean quahog", "clam, surf", "squid / loligo", "squid / illex")),     clean_name = stringr::str_remove(comname, pattern = " /.*"),     clean_name = SwimmeR::name_reorder(clean_name), clean_name = dplyr::case_when(comname ==         "squid / illex" ~ "northern shortfin squid", comname ==         "squid / loligo" ~ "longfin squid", .default = clean_name),     data_source = "vtr"):  In argument: `clean_name = SwimmeR::name_reorder(clean_name)`.
#> Caused by error in `loadNamespace()`:
#> ! there is no package called ‘SwimmeR’