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, F1-OBJ_OS (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

Pearson residuals, whole catch, F1-OBJ_OS (max=8.98) (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, F1-OBJ_OS
file: comp_lenfit_sampsize_flt1mkt0.png

Mean length for F1-OBJ_OS with 95% confidence intervals based on current samples 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 F1-OBJ_OS:
0.276 (0.1951-0.464)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_F1-OBJ_OS.png

Length comps, whole catch, F2-OBJ_Nth (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_flt2mkt0_page1.png

Pearson residuals, whole catch, F2-OBJ_Nth (max=9.33) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt0_page3.png

N-EffN comparison, Length comps, whole catch, F2-OBJ_Nth
file: comp_lenfit_sampsize_flt2mkt0.png

Mean length for F2-OBJ_Nth with 95% confidence intervals based on current samples 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-OBJ_Nth:
0.4491 (0.3243-0.6856)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_F2-OBJ_Nth.png

Length comps, whole catch, F3-OBJ_Sth (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, F3-OBJ_Sth (max=8.75) (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, F3-OBJ_Sth
file: comp_lenfit_sampsize_flt3mkt0.png

Mean length for F3-OBJ_Sth with 95% confidence intervals based on current samples 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 F3-OBJ_Sth:
0.6147 (0.445-0.9793)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_F3-OBJ_Sth.png

Length comps, whole catch, F4-OBJ_Coast (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_flt4mkt0_page1.png

Pearson residuals, whole catch, F4-OBJ_Coast (max=12.27) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt4mkt0_page3.png

N-EffN comparison, Length comps, whole catch, F4-OBJ_Coast
file: comp_lenfit_sampsize_flt4mkt0.png

Mean length for F4-OBJ_Coast with 95% confidence intervals based on current samples 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-OBJ_Coast:
0.3791 (0.2939-0.566)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_F4-OBJ_Coast.png

Length comps, whole catch, F5-NOA_OS.

'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, F5-NOA_OS (max=6.86)
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, F5-NOA_OS
file: comp_lenfit_sampsize_flt5mkt0.png

Mean length for F5-NOA_OS with 95% confidence intervals based on current samples 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 F5-NOA_OS:
0.1196 (0.0578-0.6326)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_F5-NOA_OS.png

Length comps, whole catch, F6-NOA_Nth (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, F6-NOA_Nth (max=4.23) (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, F6-NOA_Nth
file: comp_lenfit_sampsize_flt6mkt0.png

Mean length for F6-NOA_Nth with 95% confidence intervals based on current samples 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-NOA_Nth:
0.1617 (0.1104-0.3407)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_F6-NOA_Nth.png

Length comps, whole catch, F7-NOA_Cnt (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_flt7mkt0_page1.png

Pearson residuals, whole catch, F7-NOA_Cnt (max=15.45) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt7mkt0_page3.png

N-EffN comparison, Length comps, whole catch, F7-NOA_Cnt
file: comp_lenfit_sampsize_flt7mkt0.png

Mean length for F7-NOA_Cnt with 95% confidence intervals based on current samples 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 F7-NOA_Cnt:
0.2925 (0.225-0.4086)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_F7-NOA_Cnt.png

Length comps, whole catch, F8-NOA_Coast (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_flt8mkt0_page1.png

Pearson residuals, whole catch, F8-NOA_Coast (max=54.8) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt8mkt0_page2.png

N-EffN comparison, Length comps, whole catch, F8-NOA_Coast
file: comp_lenfit_sampsize_flt8mkt0.png

Mean length for F8-NOA_Coast with 95% confidence intervals based on current samples 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 F8-NOA_Coast:
0.1759 (0.1196-0.3323)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_F8-NOA_Coast.png

Length comps, whole catch, F9-DEL_Nth (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_flt9mkt0_page1.png

Pearson residuals, whole catch, F9-DEL_Nth (max=63.91) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt9mkt0_page3.png

N-EffN comparison, Length comps, whole catch, F9-DEL_Nth
file: comp_lenfit_sampsize_flt9mkt0.png

Mean length for F9-DEL_Nth with 95% confidence intervals based on current samples 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 F9-DEL_Nth:
0.0534 (0.041-0.078)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_F9-DEL_Nth.png

Length comps, whole catch, F10-DEL_Sth.

'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, F10-DEL_Sth (max=12.56)
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, F10-DEL_Sth
file: comp_lenfit_sampsize_flt10mkt0.png

Mean length for F10-DEL_Sth with 95% confidence intervals based on current samples 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 F10-DEL_Sth:
0.3956 (0.2652-0.8657)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_F10-DEL_Sth.png

Length comps, whole catch, S1-OBJ (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_flt13mkt0_page1.png

Pearson residuals, whole catch, S1-OBJ (max=5.82) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt13mkt0_page3.png

N-EffN comparison, Length comps, whole catch, S1-OBJ
file: comp_lenfit_sampsize_flt13mkt0.png

Mean length for S1-OBJ with 95% confidence intervals based on current samples 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 S1-OBJ:
0.3429 (0.2454-0.5209)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_S1-OBJ.png

Length comps, whole catch, S2-NOA (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_flt14mkt0_page1.png

Pearson residuals, whole catch, S2-NOA (max=20.03) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt14mkt0_page3.png

N-EffN comparison, Length comps, whole catch, S2-NOA
file: comp_lenfit_sampsize_flt14mkt0.png

Mean length for S2-NOA with 95% confidence intervals based on current samples 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 S2-NOA:
0.1946 (0.1374-0.3191)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_S2-NOA.png

Size 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_sizefit__aggregated_across_time.png

Size comps, whole catch, F12-LL (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_sizefit_flt12mkt0_page1.png

Pearson residuals, whole catch, F12-LL (max=49.77) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_sizefit_residsflt12mkt0_page2.png

N-EffN comparison, Size comps, whole catch, F12-LL
file: comp_sizefit_sampsize_flt12mkt0.png

Mean size for F12-LL with 95% confidence intervals based on current samples 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 size data from F12-LL:
0.0473 (0.028-0.1192)

For more info, see

file: comp_sizefit_data_weighting_TA1.8_F12-LL.png