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, F2_PS_OBJ_Core (plot 1 of 6).
'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
Length comps, retained, F2_PS_OBJ_Core (plot 1 of 6).
'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 6)
file: comp_lenfit_flt2mkt2_page2.png
Length comps, retained, F2_PS_OBJ_Core (plot 1 of 6).
'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 6) (plot 3 of 6)
file: comp_lenfit_flt2mkt2_page3.png
Length comps, retained, F2_PS_OBJ_Core (plot 1 of 6).
'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 6) (plot 3 of 6) (plot 4 of 6)
file: comp_lenfit_flt2mkt2_page4.png
Length comps, retained, F2_PS_OBJ_Core (plot 1 of 6).
'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 6) (plot 3 of 6) (plot 4 of 6) (plot 5 of 6)
file: comp_lenfit_flt2mkt2_page5.png
Length comps, retained, F2_PS_OBJ_Core (plot 1 of 6).
'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 6) (plot 3 of 6) (plot 4 of 6) (plot 5 of 6) (plot 6 of 6)
file: comp_lenfit_flt2mkt2_page6.png
Pearson residuals, retained, F2_PS_OBJ_Core (max=3.71) (plot 6 of 6)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt2_page6.png
N-EffN comparison, Length comps, retained, F2_PS_OBJ_Core
file: comp_lenfit_sampsize_flt2mkt2.png
Mean length for F2_PS_OBJ_Core 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 F2_PS_OBJ_Core:
1.0583 (0.7712-1.5187)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_F2_PS_OBJ_Core.png
Length comps, retained, F4_PS_OBJ_Galapagos (plot 1 of 5).
'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_flt4mkt2_page1.png
Length comps, retained, F4_PS_OBJ_Galapagos (plot 1 of 5).
'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 5)
file: comp_lenfit_flt4mkt2_page2.png
Length comps, retained, F4_PS_OBJ_Galapagos (plot 1 of 5).
'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 5) (plot 3 of 5)
file: comp_lenfit_flt4mkt2_page3.png
Length comps, retained, F4_PS_OBJ_Galapagos (plot 1 of 5).
'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 5) (plot 3 of 5) (plot 4 of 5)
file: comp_lenfit_flt4mkt2_page4.png
Length comps, retained, F4_PS_OBJ_Galapagos (plot 1 of 5).
'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 5) (plot 3 of 5) (plot 4 of 5) (plot 5 of 5)
file: comp_lenfit_flt4mkt2_page5.png
Pearson residuals, retained, F4_PS_OBJ_Galapagos (max=2.21) (plot 5 of 5)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt4mkt2_page5.png
N-EffN comparison, Length comps, retained, F4_PS_OBJ_Galapagos
file: comp_lenfit_sampsize_flt4mkt2.png
Mean length for F4_PS_OBJ_Galapagos 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 F4_PS_OBJ_Galapagos:
4.1349 (2.8864-6.5921)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_F4_PS_OBJ_Galapagos.png
Length comps, whole catch, F6_PS_NOA_North_coastal (plot 1 of 6).
'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
Length comps, whole catch, F6_PS_NOA_North_coastal (plot 1 of 6).
'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 6)
file: comp_lenfit_flt6mkt0_page2.png
Length comps, whole catch, F6_PS_NOA_North_coastal (plot 1 of 6).
'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 6) (plot 3 of 6)
file: comp_lenfit_flt6mkt0_page3.png
Length comps, whole catch, F6_PS_NOA_North_coastal (plot 1 of 6).
'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 6) (plot 3 of 6) (plot 4 of 6)
file: comp_lenfit_flt6mkt0_page4.png
Length comps, whole catch, F6_PS_NOA_North_coastal (plot 1 of 6).
'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 6) (plot 3 of 6) (plot 4 of 6) (plot 5 of 6)
file: comp_lenfit_flt6mkt0_page5.png
Length comps, whole catch, F6_PS_NOA_North_coastal (plot 1 of 6).
'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 6) (plot 3 of 6) (plot 4 of 6) (plot 5 of 6) (plot 6 of 6)
file: comp_lenfit_flt6mkt0_page6.png
Pearson residuals, whole catch, F6_PS_NOA_North_coastal (max=9.87) (plot 6 of 6)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt6mkt0_page6.png
N-EffN comparison, Length comps, whole catch, F6_PS_NOA_North_coastal
file: comp_lenfit_sampsize_flt6mkt0.png
Mean length for F6_PS_NOA_North_coastal 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 F6_PS_NOA_North_coastal:
0.9884 (0.7904-1.3015)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_F6_PS_NOA_North_coastal.png
Length comps, whole catch, F14_PS_DEL_North_coastal (plot 1 of 7).
'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_flt14mkt0_page1.png
Length comps, whole catch, F14_PS_DEL_North_coastal (plot 1 of 7).
'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 7)
file: comp_lenfit_flt14mkt0_page2.png
Length comps, whole catch, F14_PS_DEL_North_coastal (plot 1 of 7).
'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 7) (plot 3 of 7)
file: comp_lenfit_flt14mkt0_page3.png
Length comps, whole catch, F14_PS_DEL_North_coastal (plot 1 of 7).
'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 7) (plot 3 of 7) (plot 4 of 7)
file: comp_lenfit_flt14mkt0_page4.png
Length comps, whole catch, F14_PS_DEL_North_coastal (plot 1 of 7).
'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 7) (plot 3 of 7) (plot 4 of 7) (plot 5 of 7)
file: comp_lenfit_flt14mkt0_page5.png
Length comps, whole catch, F14_PS_DEL_North_coastal (plot 1 of 7).
'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 7) (plot 3 of 7) (plot 4 of 7) (plot 5 of 7) (plot 6 of 7)
file: comp_lenfit_flt14mkt0_page6.png
Length comps, whole catch, F14_PS_DEL_North_coastal (plot 1 of 7).
'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 7) (plot 3 of 7) (plot 4 of 7) (plot 5 of 7) (plot 6 of 7) (plot 7 of 7)
file: comp_lenfit_flt14mkt0_page7.png
Pearson residuals, whole catch, F14_PS_DEL_North_coastal (max=3.56) (plot 7 of 7)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt14mkt0_page7.png
N-EffN comparison, Length comps, whole catch, F14_PS_DEL_North_coastal
file: comp_lenfit_sampsize_flt14mkt0.png
Mean length for F14_PS_DEL_North_coastal 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 F14_PS_DEL_North_coastal:
1.0122 (0.8569-1.2244)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_F14_PS_DEL_North_coastal.png
Length comps, whole catch, F15_PS_DEL_Core (plot 1 of 7).
'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_flt15mkt0_page1.png
Length comps, whole catch, F15_PS_DEL_Core (plot 1 of 7).
'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 7)
file: comp_lenfit_flt15mkt0_page2.png
Length comps, whole catch, F15_PS_DEL_Core (plot 1 of 7).
'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 7) (plot 3 of 7)
file: comp_lenfit_flt15mkt0_page3.png
Length comps, whole catch, F15_PS_DEL_Core (plot 1 of 7).
'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 7) (plot 3 of 7) (plot 4 of 7)
file: comp_lenfit_flt15mkt0_page4.png
Length comps, whole catch, F15_PS_DEL_Core (plot 1 of 7).
'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 7) (plot 3 of 7) (plot 4 of 7) (plot 5 of 7)
file: comp_lenfit_flt15mkt0_page5.png
Length comps, whole catch, F15_PS_DEL_Core (plot 1 of 7).
'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 7) (plot 3 of 7) (plot 4 of 7) (plot 5 of 7) (plot 6 of 7)
file: comp_lenfit_flt15mkt0_page6.png
Length comps, whole catch, F15_PS_DEL_Core (plot 1 of 7).
'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 7) (plot 3 of 7) (plot 4 of 7) (plot 5 of 7) (plot 6 of 7) (plot 7 of 7)
file: comp_lenfit_flt15mkt0_page7.png
Pearson residuals, whole catch, F15_PS_DEL_Core (max=4.18) (plot 7 of 7)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt15mkt0_page7.png
N-EffN comparison, Length comps, whole catch, F15_PS_DEL_Core
file: comp_lenfit_sampsize_flt15mkt0.png
Mean length for F15_PS_DEL_Core 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 F15_PS_DEL_Core:
0.9522 (0.8018-1.1995)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_F15_PS_DEL_Core.png
Length comps, whole catch, F17_PS_DEL_Galapagos (plot 1 of 4).
'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_flt17mkt0_page1.png
Length comps, whole catch, F17_PS_DEL_Galapagos (plot 1 of 4).
'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 4)
file: comp_lenfit_flt17mkt0_page2.png
Length comps, whole catch, F17_PS_DEL_Galapagos (plot 1 of 4).
'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 4) (plot 3 of 4)
file: comp_lenfit_flt17mkt0_page3.png
Length comps, whole catch, F17_PS_DEL_Galapagos (plot 1 of 4).
'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 4) (plot 3 of 4) (plot 4 of 4)
file: comp_lenfit_flt17mkt0_page4.png
Pearson residuals, whole catch, F17_PS_DEL_Galapagos (max=2.95) (plot 4 of 4)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt17mkt0_page4.png
N-EffN comparison, Length comps, whole catch, F17_PS_DEL_Galapagos
file: comp_lenfit_sampsize_flt17mkt0.png
Mean length for F17_PS_DEL_Galapagos 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 F17_PS_DEL_Galapagos:
4.1312 (2.8555-6.5564)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_F17_PS_DEL_Galapagos.png
Length comps, whole catch, F23_LP (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_flt23mkt0_page1.png
Length comps, whole catch, F23_LP (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_flt23mkt0_page2.png
Length comps, whole catch, F23_LP (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_flt23mkt0_page3.png
Pearson residuals, whole catch, F23_LP (max=5.79) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt23mkt0_page3.png
N-EffN comparison, Length comps, whole catch, F23_LP
file: comp_lenfit_sampsize_flt23mkt0.png
Mean length for F23_LP 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 F23_LP:
4.5176 (3.0686-7.9928)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_F23_LP.png
Excluded length comps, retained, F3_PS_OBJ_Offshore (plot 1 of 5).
'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_flt3mkt2_page1.png
Excluded length comps, retained, F3_PS_OBJ_Offshore (plot 1 of 5).
'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 5)
file: comp_gstlenfit_flt3mkt2_page2.png
Excluded length comps, retained, F3_PS_OBJ_Offshore (plot 1 of 5).
'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 5) (plot 3 of 5)
file: comp_gstlenfit_flt3mkt2_page3.png
Excluded length comps, retained, F3_PS_OBJ_Offshore (plot 1 of 5).
'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 5) (plot 3 of 5) (plot 4 of 5)
file: comp_gstlenfit_flt3mkt2_page4.png
Excluded length comps, retained, F3_PS_OBJ_Offshore (plot 1 of 5).
'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 5) (plot 3 of 5) (plot 4 of 5) (plot 5 of 5)
file: comp_gstlenfit_flt3mkt2_page5.png
Pearson residuals, retained, F3_PS_OBJ_Offshore (max=NA) (plot 5 of 5)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt3mkt2_page5.png
Excluded length comps, whole catch, F16_PS_DEL_Offshore_South (plot 1 of 6).
'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_flt16mkt0_page1.png
Excluded length comps, whole catch, F16_PS_DEL_Offshore_South (plot 1 of 6).
'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 6)
file: comp_gstlenfit_flt16mkt0_page2.png
Excluded length comps, whole catch, F16_PS_DEL_Offshore_South (plot 1 of 6).
'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 6) (plot 3 of 6)
file: comp_gstlenfit_flt16mkt0_page3.png
Excluded length comps, whole catch, F16_PS_DEL_Offshore_South (plot 1 of 6).
'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 6) (plot 3 of 6) (plot 4 of 6)
file: comp_gstlenfit_flt16mkt0_page4.png
Excluded length comps, whole catch, F16_PS_DEL_Offshore_South (plot 1 of 6).
'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 6) (plot 3 of 6) (plot 4 of 6) (plot 5 of 6)
file: comp_gstlenfit_flt16mkt0_page5.png
Excluded length comps, whole catch, F16_PS_DEL_Offshore_South (plot 1 of 6).
'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 6) (plot 3 of 6) (plot 4 of 6) (plot 5 of 6) (plot 6 of 6)
file: comp_gstlenfit_flt16mkt0_page6.png
Pearson residuals, whole catch, F16_PS_DEL_Offshore_South (max=NA) (plot 6 of 6)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt16mkt0_page6.png