SimulatorFn | R Documentation |
A function to generate simulated double reading data with given properties
SimulatorFn(
Nreaders,
M,
SelexForm,
ErrorParams,
BiasParams,
SelexParams,
ReadsMat,
RecCv = 0.6,
RecAr1 = 0.8,
Amax = 100
)
Nreaders |
The number of ageing readers |
M |
True natural mortality |
SelexForm |
Form of selectivity-at-age (logistic selex-at-age is the only one that is implemented). |
ErrorParams |
Error type CV in the following equation: VarAgeRead = (CV*TrueAge)^2 |
BiasParams |
Bias type b in the following equation: EAgeRead = b*TrueAge |
SelexParams |
Selectivity parameters, which are standard to the logistic equation. |
ReadsMat |
Matrix describing number of reads per reader combination. Where each row specifies how many reads (in the first column) have a particular pattern of double reads (in the second through Nreaders+1 columns). |
RecCv |
CV of recruitment, and it shoudl be noted that recruitment is assumed to be stationary over time. |
RecAr1 |
First-order autoregressive coefficient for recruitment |
Amax |
True maximum age |
Returns a simulated double read matrix
James T. Thorson
Punt, A.E., Smith, D.C., KrusicGolub, K., and Robertson, S. 2008. Quantifying age-reading error for use in fisheries stock assessments, with application to species in Australias southern and eastern scalefish and shark fishery. Can. J. Fish. Aquat. Sci. 65: 1991-2005.
# Parameters for generating data
# This represents 2 unique readers
# Row 1 -- Otoliths read only once by reader
# Row 2 -- Otoliths read twice by reader 1
# Row 2 -- Otoliths read only once by reader 2
# Row 4 -- Otoliths read twice by reader 2
# Row 5 -- Otoliths read once by reader 1 and once by reader 2
ReadsMat <- structure(matrix(
nrow = 5, ncol = 5,
c(
rep(25, 5),
1, 1, 0, 0, 1,
0, 1, 0, 0, 0,
0, 0, 1, 1, 1,
0, 0, 0, 1, 0
)
), dimnames = list(
c(
"Reader1_Only", "Reader1_DoubleReads",
"Reader2_Only", "Reader2_DoubleReads",
"Reader1_&_Reader2"
),
c(
"NumberOfReads",
"Reader1", "Reader1_DoubleReads",
"Reader2", "Reader2_DoubleReads"
)
))
# Generate data
set.seed(2)
AgeReads <- SimulatorFn(
Nreaders = 4, M = 0.2,
SelexForm = "Logistic",
SelexParams = c(5, 0.2), BiasParams = c(1, 1, 1.1, 1.1),
ErrorParams = c(0.2, 0.2, 0.2, 0.2), ReadsMat = ReadsMat,
RecCv = 0.6, RecAr1 = 0.8, Amax = 100
)
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