LenComp

Length comps, aggregated across time by fleet.
Length 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_lenfit__aggregated_across_time.png

Pearson residuals,  comparing across fleets (plot 1 of 2)
Pearson residuals, comparing across fleets (plot 1 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit__page1_multi-fleet_comparison.png

Pearson residuals,  comparing across fleets (plot 2 of 2)
Pearson residuals, comparing across fleets (plot 2 of 2)
file: comp_lenfit__page2_multi-fleet_comparison.png

Length comps, discard, commercial trawl.
Length comps, discard, commercial trawl.

'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_lenfit_flt1mkt1.png

Pearson residuals, discard, commercial trawl (max=5.7)
Pearson residuals, discard, commercial trawl (max=5.7)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt1mkt1.png

N-EffN comparison, Length comps, discard, commercial trawl
N-EffN comparison, Length comps, discard, commercial trawl
file: comp_lenfit_sampsize_flt1mkt1.png

Mean length for commercial trawl with 95% confidence intervals based on current samples sizes.
Mean length for commercial trawl with 95% confidence intervals based on current samples 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 len data from commercial trawl:
0.979 (0.6969-1.508)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_commercial trawl.png

Length comps, retained, commercial trawl (plot 1 of 3).
Length comps, retained, commercial trawl (plot 1 of 3).

'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_lenfit_flt1mkt2_page1.png

Length comps, retained, commercial trawl (plot 2 of 3)
Length comps, retained, commercial trawl (plot 2 of 3)
file: comp_lenfit_flt1mkt2_page2.png

Length comps, retained, commercial trawl (plot 3 of 3)
Length comps, retained, commercial trawl (plot 3 of 3)
file: comp_lenfit_flt1mkt2_page3.png

Pearson residuals, retained, commercial trawl (max=3.51) (plot 3 of 3)
Pearson residuals, retained, commercial trawl (max=3.51) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt1mkt2_page3.png

N-EffN comparison, Length comps, retained, commercial trawl
N-EffN comparison, Length comps, retained, commercial trawl
file: comp_lenfit_sampsize_flt1mkt2.png

Mean length for commercial trawl with 95% confidence intervals based on current samples sizes.
Mean length for commercial trawl with 95% confidence intervals based on current samples 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 len data from commercial trawl:
0.979 (0.7022-1.4946)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_commercial trawl.png

Length comps, discard, commercial fixed-gear.
Length comps, discard, commercial fixed-gear.

'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_lenfit_flt2mkt1.png

Pearson residuals, discard, commercial fixed-gear (max=6.96)
Pearson residuals, discard, commercial fixed-gear (max=6.96)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt1.png

N-EffN comparison, Length comps, discard, commercial fixed-gear
N-EffN comparison, Length comps, discard, commercial fixed-gear
file: comp_lenfit_sampsize_flt2mkt1.png

Mean length for commercial fixed-gear with 95% confidence intervals based on current samples sizes.
Mean length for commercial fixed-gear with 95% confidence intervals based on current samples 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 len data from commercial fixed-gear:
1.0041 (0.6701-1.7101)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_commercial fixed-gear.png

Length comps, retained, commercial fixed-gear (plot 1 of 2).
Length comps, retained, commercial fixed-gear (plot 1 of 2).

'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_lenfit_flt2mkt2_page1.png

Length comps, retained, commercial fixed-gear (plot 2 of 2)
Length comps, retained, commercial fixed-gear (plot 2 of 2)
file: comp_lenfit_flt2mkt2_page2.png

Pearson residuals, retained, commercial fixed-gear (max=3.13) (plot 2 of 2)
Pearson residuals, retained, commercial fixed-gear (max=3.13) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt2_page2.png

N-EffN comparison, Length comps, retained, commercial fixed-gear
N-EffN comparison, Length comps, retained, commercial fixed-gear
file: comp_lenfit_sampsize_flt2mkt2.png

Mean length for commercial fixed-gear with 95% confidence intervals based on current samples sizes.
Mean length for commercial fixed-gear with 95% confidence intervals based on current samples 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 len data from commercial fixed-gear:
1.0041 (0.6745-1.6816)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_commercial fixed-gear.png

Length comps, whole catch, recreational Washington (plot 1 of 2).
Length comps, whole catch, recreational Washington (plot 1 of 2).

'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_lenfit_flt3mkt0_page1.png

Length comps, whole catch, recreational Washington (plot 2 of 2)
Length comps, whole catch, recreational Washington (plot 2 of 2)
file: comp_lenfit_flt3mkt0_page2.png

Pearson residuals, whole catch, recreational Washington (max=4.72) (plot 2 of 2)
Pearson residuals, whole catch, recreational Washington (max=4.72) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt3mkt0_page2.png

N-EffN comparison, Length comps, whole catch, recreational Washington
N-EffN comparison, Length comps, whole catch, recreational Washington
file: comp_lenfit_sampsize_flt3mkt0.png

Mean length for recreational Washington with 95% confidence intervals based on current samples sizes.
Mean length for recreational Washington with 95% confidence intervals based on current samples 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 len data from recreational Washington:
1.0012 (0.7037-1.7041)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_recreational Washington.png

Length comps, whole catch, recreational Oregon (plot 1 of 2).
Length comps, whole catch, recreational Oregon (plot 1 of 2).

'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_lenfit_flt4mkt0_page1.png

Length comps, whole catch, recreational Oregon (plot 2 of 2)
Length comps, whole catch, recreational Oregon (plot 2 of 2)
file: comp_lenfit_flt4mkt0_page2.png

Pearson residuals, whole catch, recreational Oregon (max=2.65) (plot 2 of 2)
Pearson residuals, whole catch, recreational Oregon (max=2.65) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt4mkt0_page2.png

N-EffN comparison, Length comps, whole catch, recreational Oregon
N-EffN comparison, Length comps, whole catch, recreational Oregon
file: comp_lenfit_sampsize_flt4mkt0.png

Mean length for recreational Oregon with 95% confidence intervals based on current samples sizes.
Mean length for recreational Oregon with 95% confidence intervals based on current samples 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 len data from recreational Oregon:
1.027 (0.7651-1.5235)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_recreational Oregon.png

Length comps, whole catch, recreational California (plot 1 of 2).
Length comps, whole catch, recreational California (plot 1 of 2).

'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_lenfit_flt5mkt0_page1.png

Length comps, whole catch, recreational California (plot 2 of 2)
Length comps, whole catch, recreational California (plot 2 of 2)
file: comp_lenfit_flt5mkt0_page2.png

Pearson residuals, whole catch, recreational California (max=7.25) (plot 2 of 2)
Pearson residuals, whole catch, recreational California (max=7.25) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt5mkt0_page2.png

N-EffN comparison, Length comps, whole catch, recreational California
N-EffN comparison, Length comps, whole catch, recreational California
file: comp_lenfit_sampsize_flt5mkt0.png

Mean length for recreational California with 95% confidence intervals based on current samples sizes.
Mean length for recreational California with 95% confidence intervals based on current samples 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 len data from recreational California:
0.9971 (0.5626-2.277)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_recreational California.png

Length comps, whole catch, Triennial Survey.
Length comps, whole catch, Triennial Survey.

'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_lenfit_flt6mkt0.png

Pearson residuals, whole catch, Triennial Survey (max=3.22)
Pearson residuals, whole catch, Triennial Survey (max=3.22)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt6mkt0.png

N-EffN comparison, Length comps, whole catch, Triennial Survey
N-EffN comparison, Length comps, whole catch, Triennial Survey
file: comp_lenfit_sampsize_flt6mkt0.png

Mean length for Triennial Survey with 95% confidence intervals based on current samples sizes.
Mean length for Triennial Survey with 95% confidence intervals based on current samples 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 len data from Triennial Survey:
1.004 (0.5638-5.8329)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_Triennial Survey.png

Length comps, whole catch, WCGBT Survey.
Length comps, whole catch, WCGBT Survey.

'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_lenfit_flt7mkt0.png

Pearson residuals, whole catch, WCGBT Survey (max=2.48)
Pearson residuals, whole catch, WCGBT Survey (max=2.48)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt7mkt0.png

N-EffN comparison, Length comps, whole catch, WCGBT Survey
N-EffN comparison, Length comps, whole catch, WCGBT Survey
file: comp_lenfit_sampsize_flt7mkt0.png

Mean length for WCGBT Survey with 95% confidence intervals based on current samples sizes.
Mean length for WCGBT Survey with 95% confidence intervals based on current samples 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 len data from WCGBT Survey:
0.9777 (0.6668-1.9551)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_WCGBT Survey.png

Length comps, whole catch, Lam research samples.
Length comps, whole catch, Lam research samples.

'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_lenfit_flt9mkt0.png

Pearson residuals, whole catch, Lam research samples (max=2.98)
Pearson residuals, whole catch, Lam research samples (max=2.98)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt9mkt0.png

N-EffN comparison, Length comps, whole catch, Lam research samples
N-EffN comparison, Length comps, whole catch, Lam research samples
file: comp_lenfit_sampsize_flt9mkt0.png

Mean length for Lam research samples with 95% confidence intervals based on current samples sizes.
Mean length for Lam research samples with 95% confidence intervals based on current samples sizes.
Francis data weighting method TA1.8: too few points to calculate adjustments.

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_Lam research samples.png

Ghost length comps, retained, commercial trawl.
Ghost length comps, retained, commercial trawl.

'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_gstlenfit_flt1mkt2.png

Pearson residuals, retained, commercial trawl (max=NA)
Pearson residuals, retained, commercial trawl (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt1mkt2.png

Ghost length comps, retained, commercial fixed-gear.
Ghost length comps, retained, commercial fixed-gear.

'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_gstlenfit_flt2mkt2.png

Pearson residuals, retained, commercial fixed-gear (max=NA)
Pearson residuals, retained, commercial fixed-gear (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt2mkt2.png

Sex ratios for length comps, discard, commercial trawl.
Sex ratios for length comps, discard, commercial trawl.
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_len_flt1mkt1.png

Sex ratios for length comps, retained, commercial trawl (plot 1 of 3).
Sex ratios for length comps, retained, commercial trawl (plot 1 of 3).
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_len_flt1mkt2_page1.png

Sex ratios for length comps, retained, commercial trawl (plot 2 of 3)
Sex ratios for length comps, retained, commercial trawl (plot 2 of 3)
file: sexratio_len_flt1mkt2_page2.png

Sex ratios for length comps, retained, commercial trawl (plot 3 of 3)
Sex ratios for length comps, retained, commercial trawl (plot 3 of 3)
file: sexratio_len_flt1mkt2_page3.png

Sex ratios for length comps, discard, commercial fixed-gear.
Sex ratios for length comps, discard, commercial fixed-gear.
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_len_flt2mkt1.png

Sex ratios for length comps, retained, commercial fixed-gear (plot 1 of 2).
Sex ratios for length comps, retained, commercial fixed-gear (plot 1 of 2).
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_len_flt2mkt2_page1.png

Sex ratios for length comps, retained, commercial fixed-gear (plot 2 of 2)
Sex ratios for length comps, retained, commercial fixed-gear (plot 2 of 2)
file: sexratio_len_flt2mkt2_page2.png

Sex ratios for length comps, whole catch, recreational Washington (plot 1 of 2).
Sex ratios for length comps, whole catch, recreational Washington (plot 1 of 2).
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_len_flt3mkt0_page1.png

Sex ratios for length comps, whole catch, recreational Washington (plot 2 of 2)
Sex ratios for length comps, whole catch, recreational Washington (plot 2 of 2)
file: sexratio_len_flt3mkt0_page2.png

Sex ratios for length comps, whole catch, recreational Oregon (plot 1 of 2).
Sex ratios for length comps, whole catch, recreational Oregon (plot 1 of 2).
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_len_flt4mkt0_page1.png

Sex ratios for length comps, whole catch, recreational Oregon (plot 2 of 2)
Sex ratios for length comps, whole catch, recreational Oregon (plot 2 of 2)
file: sexratio_len_flt4mkt0_page2.png

Sex ratios for length comps, whole catch, recreational California (plot 1 of 2).
Sex ratios for length comps, whole catch, recreational California (plot 1 of 2).
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_len_flt5mkt0_page1.png

Sex ratios for length comps, whole catch, recreational California (plot 2 of 2)
Sex ratios for length comps, whole catch, recreational California (plot 2 of 2)
file: sexratio_len_flt5mkt0_page2.png

Sex ratios for length comps, whole catch, Triennial Survey.
Sex ratios for length comps, whole catch, Triennial Survey.
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_len_flt6mkt0.png

Sex ratios for length comps, whole catch, WCGBT Survey.
Sex ratios for length comps, whole catch, WCGBT Survey.
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_len_flt7mkt0.png

Sex ratios for length comps, whole catch, Lam research samples.
Sex ratios for length comps, whole catch, Lam research samples.
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_len_flt9mkt0.png