Convert user input to r4ss data names

Usage

convert_to_r4ss_names(
  sample_struct,
  convert_key = data.frame(df_name = c(rep("catch", 4), rep("CPUE", 4), rep("lencomp",
    6), rep("agecomp", 9), rep("meanbodywt", 6), rep("MeanSize_at_Age_obs", 7)),
    r4ss_name = c("year", "seas", "fleet", "catch_se", "year", "seas", "index", "se_log",
    "Yr", "Seas", "FltSvy", "Gender", "Part", "Nsamp", "Yr", "Seas", "FltSvy", "Gender",
    "Part", "Ageerr", "Lbin_lo", "Lbin_hi", "Nsamp", "Year", "Seas", "Fleet",
    "Partition", "Type", "Std_in", "Yr", "Seas", "FltSvy", "Gender", "Part", "AgeErr",
    "N_"), sample_struct_name = c("Yr", 
     "Seas", "FltSvy", "SE", "Yr", "Seas",
    "FltSvy", "SE", "Yr", "Seas", "FltSvy", "Sex", "Part", "Nsamp", "Yr", "Seas",
    "FltSvy", "Sex", "Part", "Ageerr", "Lbin_lo", "Lbin_hi", "Nsamp", "Yr", "Seas",
    "FltSvy", "Part", "Type", "Std_in", "Yr", "Seas", "FltSvy", "Sex", "Part", "Ageerr",
    "N_"), stringsAsFactors = FALSE)
)

Arguments

sample_struct: A optional list including which years, seasons, and fleets should be added from the OM into the EM for different types of data. If NULL, the data structure will try to be inferred from the pattern found for each of the datatypes within the EM datafiles. Include this structure for the number of years to extend the model out. Note that the data should be specified using the list component names and column names as in would be used in r4ss::SS_readdat(). The run_SSMSE_iter function examples give an example of what this structure should be. Running the function create_sample_struct() will also produce a sample_struct object in the correct form. Can be NULL only when MS is not EM.
convert_key: Data frame defining how r4ss names relate to the sample_struct names. For now, a 1:1 relationship is assumed.