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, NoCA_HKL (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_flt1mkt0_page1.png

Pearson residuals, whole catch, NoCA_HKL (max=12.44) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt1mkt0_page2.png

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

Mean length for NoCA_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 NoCA_HKL:
1.0024 (0.6609-1.8637)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_NoCA_HKL.png

Length comps, whole catch, SoCA_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_flt2mkt0.png

Pearson residuals, whole catch, SoCA_HKL (max=50.75)
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, SoCA_HKL
file: comp_lenfit_sampsize_flt2mkt0.png

Mean length for SoCA_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 SoCA_HKL:
1.002 (0.698-1.8906)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_SoCA_HKL.png

Length comps, whole catch, CA_TWL (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, CA_TWL (max=53) (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, CA_TWL
file: comp_lenfit_sampsize_flt3mkt0.png

Mean length for CA_TWL 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 CA_TWL:
1.0038 (0.6908-1.7179)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_CA_TWL.png

Length comps, whole catch, OR_WA_Comm.

'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, OR_WA_Comm (max=6.22)
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, OR_WA_Comm
file: comp_lenfit_sampsize_flt4mkt0.png

Mean length for OR_WA_Comm 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 OR_WA_Comm:
0.9994 (0.58-3.6631)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_OR_WA_Comm.png

Length comps, whole catch, CA_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_flt5mkt0.png

Pearson residuals, whole catch, CA_NET (max=9.87)
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, CA_NET
file: comp_lenfit_sampsize_flt5mkt0.png

Mean length for CA_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 CA_NET:
0.9998 (0.5972-2.6375)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_CA_NET.png

Length comps, whole catch, NoCA_OR_WA_Rec (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_flt6mkt0_page1.png

Pearson residuals, whole catch, NoCA_OR_WA_Rec (max=39.51) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt6mkt0_page2.png

N-EffN comparison, Length comps, whole catch, NoCA_OR_WA_Rec
file: comp_lenfit_sampsize_flt6mkt0.png

Mean length for NoCA_OR_WA_Rec 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 NoCA_OR_WA_Rec:
1.0033 (0.7278-1.6505)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_NoCA_OR_WA_Rec.png

Length comps, whole catch, SoCA_Rec (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

Pearson residuals, whole catch, SoCA_Rec (max=10.59) (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

N-EffN comparison, Length comps, whole catch, SoCA_Rec
file: comp_lenfit_sampsize_flt7mkt0.png

Mean length for SoCA_Rec 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 SoCA_Rec:
1.0027 (0.6426-1.8592)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_SoCA_Rec.png

Length comps, whole catch, TWL_discard.

'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, TWL_discard (max=2.27)
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, TWL_discard
file: comp_lenfit_sampsize_flt8mkt0.png

Mean length for TWL_discard 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 TWL_discard:
0.9997 (0.6374-3.666)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_TWL_discard.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_flt9mkt0.png

Pearson residuals, whole catch, WCGBT_Survey (max=113.81)
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_Survey
file: comp_lenfit_sampsize_flt9mkt0.png

Mean length for WCGBT_Survey 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_Survey:
0.9998 (0.6177-2.221)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_WCGBT_Survey.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_flt10mkt0.png

Pearson residuals, whole catch, Triennial_Survey (max=3.14)
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, Triennial_Survey
file: comp_lenfit_sampsize_flt10mkt0.png

Mean length for Triennial_Survey 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_Survey:
1.0043 (0.7252-3.0008)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_Triennial_Survey.png

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

Sex ratios for length comps, whole catch, CA_TWL (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, OR_WA_Comm.
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, CA_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_flt5mkt0.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_flt9mkt0.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_flt10mkt0.png