SS Output

LenComp

Pearson residuals, comparing across fleets (plot 3 of 3)
file: comp_lenfit__page3_multi-fleet_comparison.png

Mean length for 1_Comm_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 1_Comm_Trawl:
1.0043 (0.6134-1.8063)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_1_Comm_Trawl.png

Length comps, retained, 1_Comm_Trawl (plot 3 of 3)
file: comp_lenfit_flt1mkt2_page3.png

Pearson residuals, retained, 1_Comm_Trawl (max=16.42) (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

file: comp_lenfit_data_weighting_TA1.8_1_Comm_Trawl.png

Mean length for 2_Comm_Fix 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 2_Comm_Fix:
1.0054 (0.6649-1.8253)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_2_Comm_Fix.png

file: comp_lenfit_data_weighting_TA1.8_2_Comm_Fix.png

Length comps, whole catch, 5_Rec_CA (plot 3 of 3)
file: comp_lenfit_flt5mkt0_page3.png

Pearson residuals, whole catch, 5_Rec_CA (max=8.17) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt5mkt0_page3.png

Mean length for 5_Rec_CA 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 5_Rec_CA:
0.9891 (0.5887-2.0333)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_5_Rec_CA.png

Mean length for 6_Surv_TRI 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 6_Surv_TRI:
0.9626 (0.5364-7.8288)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_6_Surv_TRI.png

Length comps, whole catch, 7_Surv_WCGBTS (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_flt7mkt0_page1.png

Length comps, whole catch, 7_Surv_WCGBTS (plot 2 of 2)
file: comp_lenfit_flt7mkt0_page2.png

Pearson residuals, whole catch, 7_Surv_WCGBTS (max=1.89) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt7mkt0_page2.png

Mean length for 7_Surv_WCGBTS 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 7_Surv_WCGBTS:
0.9892 (0.7636-1.831)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_7_Surv_WCGBTS.png

Mean length for 8_Surv_HookLine 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 8_Surv_HookLine:
1.0014 (0.6845-1.9213)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_8_Surv_HookLine.png

Mean length for 9_Research_Lam 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 9_Research_Lam:
1.0052 (1.0052-Inf)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_9_Research_Lam.png

Mean length for 10_CPFV_DebWV 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 10_CPFV_DebWV:
1.0519 (0.7548-2.3027)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_10_CPFV_DebWV.png

Sex ratios for length comps, retained, 1_Comm_Trawl (plot 3 of 3)
file: sexratio_len_flt1mkt2_page3.png

Sex ratios for length comps, whole catch, 5_Rec_CA (plot 3 of 3)
file: sexratio_len_flt5mkt0_page3.png

Sex ratios for length comps, whole catch, 7_Surv_WCGBTS (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_flt7mkt0_page1.png

Sex ratios for length comps, whole catch, 7_Surv_WCGBTS (plot 2 of 2)
file: sexratio_len_flt7mkt0_page2.png

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)
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)
file: comp_lenfit__page2_multi-fleet_comparison.png

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=9.38)
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
file: comp_lenfit_sampsize_flt1mkt1.png

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:
1.0043 (0.6586-1.8492)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_commercial trawl.png

Length comps, retained, commercial trawl (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_flt1mkt2_page1.png

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

Pearson residuals, retained, commercial trawl (max=16.42) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt1mkt2_page2.png

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

file: comp_lenfit_data_weighting_TA1.8_commercial trawl.png

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=12.26)
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
file: comp_lenfit_sampsize_flt2mkt1.png

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:
1.0054 (0.646-1.9255)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_commercial fixed-gear.png

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)
file: comp_lenfit_flt2mkt2_page2.png

Pearson residuals, retained, commercial fixed-gear (max=10.65) (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
file: comp_lenfit_sampsize_flt2mkt2.png

file: comp_lenfit_data_weighting_TA1.8_commercial fixed-gear.png

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)
file: comp_lenfit_flt5mkt0_page2.png

Pearson residuals, whole catch, recreational California (max=8.17) (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
file: comp_lenfit_sampsize_flt5mkt0.png

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:
0.9891 (0.6106-1.9593)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_recreational California.png

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=3.21)
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
file: comp_lenfit_sampsize_flt6mkt0.png

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:
0.9626 (0.5559-6.0034)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_Triennial Survey.png

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=1.89)
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
file: comp_lenfit_sampsize_flt7mkt0.png

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:
0.9892 (0.7553-1.6976)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_WCGBT Survey.png

Length comps, whole catch, Hook & Line 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_flt8mkt0.png

Pearson residuals, whole catch, Hook & Line Survey (max=5.97)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt8mkt0.png

N-EffN comparison, Length comps, whole catch, Hook & Line Survey
file: comp_lenfit_sampsize_flt8mkt0.png

Mean length for Hook & Line 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 Hook & Line Survey:
1.0014 (0.6648-1.8903)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_Hook & Line Survey.png

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=2.03)
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
file: comp_lenfit_sampsize_flt9mkt0.png

Mean length for Lam research samples 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 Lam research samples:
1.0052 (1.0052-Inf)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_Lam research samples.png

Length comps, whole catch, recreational CPFV DebWV.

'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_flt10mkt0.png

Pearson residuals, whole catch, recreational CPFV DebWV (max=6.73)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt10mkt0.png

N-EffN comparison, Length comps, whole catch, recreational CPFV DebWV
file: comp_lenfit_sampsize_flt10mkt0.png

Mean length for recreational CPFV DebWV 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 CPFV DebWV:
1.0519 (0.7603-2.2107)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_recreational CPFV DebWV.png

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 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_flt1mkt2_page1.png

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

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).
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)
file: sexratio_len_flt2mkt2_page2.png

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)
file: sexratio_len_flt5mkt0_page2.png

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.
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, Hook & Line 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_flt8mkt0.png

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