create a list similar to those built by SS_readdat which can
be written to a Stock Synthesis data file using SS_writedat.
In hindsight, this function doesn't seem very useful and I haven't taken
time to describe the arguments below.
SS_makedatlist(styr = 1971, endyr = 2001, nseas = 1,
months_per_seas = 12, spawn_seas = 1, Nfleet = 1, Nsurveys = 1,
N_areas = 1, fleetnames = c("fishery1", "survey1"),
surveytiming = 0.5, areas = 1, units_of_catch = 1,
se_log_catch = 0.01, Ngenders = 2, Nages = 40, init_equil = 0,
catch = NULL, CPUE = NULL, N_discard_fleets = 0,
discard_data = NULL, meanbodywt = NULL, DF_for_meanbodywt = 30,
lbin_method = 2, binwidth = 2, minimum_size = 2,
maximum_size = 90, comp_tail_compression = -1e-04,
add_to_comp = 1e-04, max_combined_lbin = 0, lbin_vector = seq(22,
90, 2), lencomp = NULL, agebin_vector = 1:25,
ageerror = data.frame(rbind(0:40 + 0.5, 0.001, 0:40 + 0.5, seq(0.525,
2.525, 0.05))), agecomp = NULL, Lbin_method = 3,
max_combined_age = 1, MeanSize_at_Age_obs = NULL,
N_environ_variables = 0, N_environ_obs = 0, N_sizefreq_methods = 0,
do_tags = 0, morphcomp_data = 0)start year of the model
end year of the model
number of seasons
vector of months per season
spawning season
number of fishing fleets
number of surveys
number of areas
names of fleets and surveys (alphanumeric only, no spaces or special characters)
vector of survey timings
area definitions for each fleet and survey
units of catch for each fleet
Uncertainty in catch (standard error in log space) for each fleet
Number of genders.
Number of ages.
Initial equilibrium catch for each fleet
Catch data
Indices of abundance (if present).
Number of fleets with discard data.
Discard data (if exists).
Mean body weight data (if exists)
Degrees of freedom for mean body weight t-distribution.
Method for entering length bins. (1=use databins; 2=generate from binwidth,min,max below; 3=read vector). Not sure if all options implemented.
Bin width for length bins.
Lower bound of length bins.
Upper bound of length bins.
Value below which tails of composition data will be compressed (negative to turn off).
Robustifying constant added to multinomial composition likelihoods.
Maximum length bin below which length composition data will have genders combined.
Vector of length bins.
Length composition data (if exists).
Vector of age bins.
Ageing error matrices.
Age composition data (if exists).
Method of specifying length bins in conditional age-at-length data.
Maximum age below which age composition data will have genders combined.
Data on mean size at age (if exists).
Number of environmental variables.
Number of environmental observations.
Number of size frequency methods. NOT IMPLEMENTED YET.
Include tag data? NOT IMPLEMENTED YET.
Morph composition data. NOT IMPLEMENTED YET.