fishlife <- function(species){
# This is from Jason Cope's Shiny Natural Mortality Tool
# Setup container
JRWToolBox::lib("james-thorson/FishLife", quiet = TRUE)
if(species!="")
{
spp <- sort(unique(species))
fl <- data.frame(species=spp, linf_cm=NA, k=NA, winf_g=NA, tmax_yr=NA, tmat_yr=NA,
m=NA, lmat_cm=NA, temp_c=NA, stringsAsFactors=F)
# Loop through species
for(i in 1:nrow(fl)){
# Get spp info
sciname <- fl$species[i]
genus <- stringr::word(sciname, 1)
nwords_in_spp <- length(strsplit(sciname, " ")[[1]])
species <- stringr::word(sciname, start=2, end=nwords_in_spp)
species <- ifelse(species=="spp", "predictive", species)
# Try looking up in FishLife
spp_info <- try(FishLife::Plot_taxa(FishLife::Search_species(Genus=genus, Species=species)$match_taxonomy, mfrow = c(2,2)))
if(inherits(spp_info, "try-error")){
# Record blanks
} else {
# Values are in log-scale except temperature
spp_lh_vals_log <- spp_info[[1]]$Mean_pred
spp_lh_vals <- c(exp(spp_lh_vals_log[1:7]), spp_lh_vals_log[8], spp_lh_vals_log[9:20])
}
}
# Return
spp_lh_vals
}
else {return(NA)}
}
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