AgeComp


Age comps, aggregated across time by fleet.
Labels 'retained' and 'discard' indicate discarded or retained sampled for each fleet. Panels without this designation represent the whole catch.
file: comp_agefit__aggregated_across_time.png


Pearson residuals, comparing across fleets
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit__multi-fleet_comparison.png


Age comps, whole catch, Rec_CPFV.

'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_agefit_flt3mkt0.png


Pearson residuals, whole catch, Rec_CPFV (max=2.17)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt3mkt0.png


N-EffN comparison, Age comps, whole catch, Rec_CPFV
file: comp_agefit_sampsize_flt3mkt0.png


Mean age for Rec_CPFV with 95% confidence intervals based on current sample sizes.
Francis data weighting method TA1.8: thinner intervals (with capped ends) show result of further adjusting sample sizes based on suggested multiplier (with 95% interval) for age data from Rec_CPFV:
5.309 (3.2133-28.5794)
For more info, see Francis (2011).
file: comp_agefit_data_weighting_TA1.8_Rec_CPFV.png


Excluded age comps, whole catch, Commercial_Dead.

'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_gstagefit_flt1mkt0.png


Pearson residuals, whole catch, Commercial_Dead (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt1mkt0.png


Excluded age comps, whole catch, Rec_CPFV.

'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_gstagefit_flt3mkt0.png


Pearson residuals, whole catch, Rec_CPFV (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt3mkt0.png


Excluded age comps, whole catch, Rec_PR.

'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_gstagefit_flt4mkt0.png


Pearson residuals, whole catch, Rec_PR (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt4mkt0.png


Excluded age comps, whole catch, Growth.

'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_gstagefit_flt9mkt0.png


Pearson residuals, whole catch, Growth (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt9mkt0.png


Sex ratios for age comps, whole catch, Rec_CPFV.
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_age_flt3mkt0.png