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## 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
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit__multi-fleet_comparison.png

Length comps, whole catch, 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_flt1mkt0_page1.png

Length comps, whole catch, 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. (plot 2 of 3)
file: comp_lenfit_flt1mkt0_page2.png

Length comps, whole catch, 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. (plot 2 of 3) (plot 3 of 3)
file: comp_lenfit_flt1mkt0_page3.png

Pearson residuals, whole catch, BottomTrawl (max=3.68) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt1mkt0_page3.png

N-EffN comparison, Length comps, whole catch, BottomTrawl
file: comp_lenfit_sampsize_flt1mkt0.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:
0.9996 (0.6587-1.9225)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_BottomTrawl.png

Length comps, whole catch, 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_flt2mkt0_page1.png

Length comps, whole catch, 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. (plot 2 of 2)
file: comp_lenfit_flt2mkt0_page2.png

Pearson residuals, whole catch, MidwaterTrawl (max=4.17) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt0_page2.png

N-EffN comparison, Length comps, whole catch, MidwaterTrawl
file: comp_lenfit_sampsize_flt2mkt0.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:
0.9998 (0.6688-1.7125)
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

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. (plot 2 of 2)
file: comp_lenfit_flt3mkt0_page2.png

Pearson residuals, whole catch, Hake (max=3.17) (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:
0.9999 (0.6751-1.8499)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_Hake.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=12.34)
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:
1 (0.5916-3.9738)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_Triennial.png

Length comps, whole catch, WCGBTS.
'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, WCGBTS (max=5.89)
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, WCGBTS
file: comp_lenfit_sampsize_flt8mkt0.png

Mean length for WCGBTS 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 WCGBTS:
0.9998 (0.7109-1.8263)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_WCGBTS.png

Sex ratios for length comps, whole catch, 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_flt1mkt0_page1.png

Sex ratios for length comps, whole catch, 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. (plot 2 of 3)
file: sexratio_len_flt1mkt0_page2.png

Sex ratios for length comps, whole catch, 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. (plot 2 of 3) (plot 3 of 3)
file: sexratio_len_flt1mkt0_page3.png

Sex ratios for length comps, whole catch, 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_flt2mkt0_page1.png

Sex ratios for length comps, whole catch, 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. (plot 2 of 2)
file: sexratio_len_flt2mkt0_page2.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, 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. (plot 2 of 2)
file: sexratio_len_flt3mkt0_page2.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, WCGBTS.
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