SS Output

LenComp

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, retained, BottomTrawl (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

Pearson residuals, retained, BottomTrawl (max=2.8) (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, BottomTrawl
file: comp_lenfit_sampsize_flt1mkt2.png

Mean length for BottomTrawl 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 len data from BottomTrawl:
0.9089 (0.7132-1.2703)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_BottomTrawl.png

Length comps, discard, BottomTrawl.

'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, BottomTrawl (max=10.4)
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, BottomTrawl
file: comp_lenfit_sampsize_flt1mkt1.png

Mean length for BottomTrawl 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 len data from BottomTrawl:
0.9089 (0.7185-1.239)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_BottomTrawl.png

Length comps, retained, MidwaterTrawl (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

Pearson residuals, retained, MidwaterTrawl (max=7.16) (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, MidwaterTrawl
file: comp_lenfit_sampsize_flt2mkt2.png

Mean length for MidwaterTrawl 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 len data from MidwaterTrawl:
0.2124 (0.1435-0.3958)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_MidwaterTrawl.png

Length comps, whole catch, Hake (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

Pearson residuals, whole catch, Hake (max=6.96) (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, Hake
file: comp_lenfit_sampsize_flt3mkt0.png

Mean length for Hake 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 len data from Hake:
0.2174 (0.1539-0.3912)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_Hake.png

Length comps, whole catch, Net.

'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.png

Pearson residuals, whole catch, Net (max=8.69)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt4mkt0.png

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

Mean length for Net 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 len data from Net:
0.2324 (0.1412-0.6548)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_Net.png

Length comps, whole catch, HnL (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

Pearson residuals, whole catch, HnL (max=10.03) (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, HnL
file: comp_lenfit_sampsize_flt5mkt0.png

Mean length for HnL 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 len data from HnL:
0.44 (0.315-0.6708)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_HnL.png

Length comps, whole catch, Triennial.

'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, Triennial (max=40.71)
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, Triennial
file: comp_lenfit_sampsize_flt7mkt0.png

Mean length for Triennial 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 len data from Triennial:
0.2485 (0.1462-1.1338)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_Triennial.png

Length comps, whole catch, NWFSC.

'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, NWFSC (max=16.08)
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, NWFSC
file: comp_lenfit_sampsize_flt8mkt0.png

Mean length for NWFSC 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 len data from NWFSC:
0.1546 (0.1146-0.2573)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_NWFSC.png

Sex ratios for length comps, retained, BottomTrawl (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, discard, BottomTrawl.
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, MidwaterTrawl (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, whole catch, Hake (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, Net.
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.png

Sex ratios for length comps, whole catch, HnL (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, Triennial.
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, NWFSC.
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