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

Length comps, retained, North (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, North (max=3.93) (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, North
file: comp_lenfit_sampsize_flt1mkt2.png

Mean length for North 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 North:
0.9991 (0.7869-1.3509)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_North.png

Length comps, discard, North.

'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, North (max=5.76)
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, North
file: comp_lenfit_sampsize_flt1mkt1.png

Mean length for North 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 North:
0.9991 (0.7828-1.3787)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_North.png

Length comps, retained, South (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_flt2mkt2_page1.png

Pearson residuals, retained, South (max=3.56) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt2_page3.png

N-EffN comparison, Length comps, retained, South
file: comp_lenfit_sampsize_flt2mkt2.png

Mean length for South 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 South:
0.9997 (0.7584-1.427)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_South.png

Length comps, discard, South.

'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, South (max=3.9)
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, South
file: comp_lenfit_sampsize_flt2mkt1.png

Mean length for South 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 South:
0.9997 (0.7541-1.4505)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_South.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_flt3mkt0.png

Pearson residuals, whole catch, Triennial (max=2.1)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt3mkt0.png

N-EffN comparison, Length comps, whole catch, Triennial
file: comp_lenfit_sampsize_flt3mkt0.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:
1.004 (0.6413-5.9397)
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_flt4mkt0.png

Pearson residuals, whole catch, WCGBTS (max=5.12)
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, WCGBTS
file: comp_lenfit_sampsize_flt4mkt0.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:
0.9993 (0.5116-3.9621)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_WCGBTS.png

Sex ratios for length comps, retained, North (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, North.
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, South (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_flt2mkt2_page1.png

Sex ratios for length comps, discard, South.
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, 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_flt3mkt0.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_flt4mkt0.png