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, whole catch, Commercial_dead.

'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.png

Pearson residuals, whole catch, Commercial_dead (max=6.61)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt1mkt0.png

N-EffN comparison, Length comps, whole catch, Commercial_dead
file: comp_lenfit_sampsize_flt1mkt0.png

Mean length for Commercial_dead 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 Commercial_dead:
0.9978 (0.6736-1.9646)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Commercial_dead.png

Length comps, whole catch, Commercial_live.

'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.png

Pearson residuals, whole catch, Commercial_live (max=4.35)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt0.png

N-EffN comparison, Length comps, whole catch, Commercial_live
file: comp_lenfit_sampsize_flt2mkt0.png

Mean length for Commercial_live 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 Commercial_live:
0.9873 (0.6428-5.5071)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Commercial_live.png

Length comps, whole catch, Rec_CPFV (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, Rec_CPFV (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_residsflt3mkt0_page2.png

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

Mean length for Rec_CPFV 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 Rec_CPFV:
1.0015 (0.7191-1.6271)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Rec_CPFV.png

Length comps, whole catch, Rec_Private (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

Pearson residuals, whole catch, Rec_Private (max=8.01) (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, Rec_Private
file: comp_lenfit_sampsize_flt4mkt0.png

Mean length for Rec_Private 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 Rec_Private:
1.0033 (0.6986-1.6646)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Rec_Private.png

Length comps, whole catch, CCFRP.

'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.png

Pearson residuals, whole catch, CCFRP (max=1.86)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt5mkt0.png

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

Mean length for CCFRP 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 CCFRP:
0.9727 (0.6289-6.8204)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_CCFRP.png

Length comps, whole catch, NWFSC_HKL.

'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, NWFSC_HKL (max=3.67)
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, NWFSC_HKL
file: comp_lenfit_sampsize_flt7mkt0.png

Mean length for NWFSC_HKL 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_HKL:
0.9954 (0.6308-2.5268)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_NWFSC_HKL.png

Length comps, whole catch, WCGBT_Growth.

'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, WCGBT_Growth (max=5.92)
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, WCGBT_Growth
file: comp_lenfit_sampsize_flt9mkt0.png

Mean length for WCGBT_Growth 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 WCGBT_Growth:
1.0073 (0.4875-3.4873)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_WCGBT_Growth.png

Length comps, whole catch, COOP_Growth.

'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, COOP_Growth (max=4.87)
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, COOP_Growth
file: comp_lenfit_sampsize_flt10mkt0.png

Mean length for COOP_Growth 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 COOP_Growth:
0.9021 (0.5404-6.3682)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_COOP_Growth.png

Excluded length comps, whole catch, Commercial_dead.

'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_flt1mkt0.png

Pearson residuals, whole catch, Commercial_dead (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt1mkt0.png

Excluded length comps, whole catch, Commercial_live.

'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_flt2mkt0.png

Pearson residuals, whole catch, Commercial_live (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt2mkt0.png

Excluded length comps, whole catch, Rec_CPFV.

'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_flt3mkt0.png

Pearson residuals, whole catch, Rec_CPFV (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt3mkt0.png

Excluded length comps, whole catch, Rec_Private.

'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_flt4mkt0.png

Pearson residuals, whole catch, Rec_Private (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt4mkt0.png

Excluded length comps, whole catch, CDFW_ROV.

'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_flt6mkt0.png

Pearson residuals, whole catch, CDFW_ROV (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt6mkt0.png

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

Sex ratios for length comps, whole catch, NWFSC_HKL.
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, WCGBT_Growth.
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

Sex ratios for length comps, whole catch, COOP_Growth.
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_flt10mkt0.png