
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, Comm_nonTwl.
'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, Comm_nonTwl (max=1.16)
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, Comm_nonTwl
file: comp_lenfit_sampsize_flt1mkt0.png

Mean length for Comm_nonTwl 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 Comm_nonTwl:
1.429 (1.0149-8.9753)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Comm_nonTwl.png

Length comps, whole catch, Comm_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_flt3mkt0.png

Pearson residuals, whole catch, Comm_Discard (max=16.48)
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, Comm_Discard
file: comp_lenfit_sampsize_flt3mkt0.png

Mean length for Comm_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 Comm_Discard:
0.9997 (0.6611-2.0813)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Comm_Discard.png

Length comps, whole catch, Rec_PC_Central (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

Length comps, whole catch, Rec_PC_Central (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. (plot 2 of 2)
file: comp_lenfit_flt4mkt0_page2.png

Pearson residuals, whole catch, Rec_PC_Central (max=13.99) (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_PC_Central
file: comp_lenfit_sampsize_flt4mkt0.png

Mean length for Rec_PC_Central 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_PC_Central:
1.0013 (0.563-3.0349)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Rec_PC_Central.png

Length comps, whole catch, Rec_PR_Central (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_flt5mkt0_page1.png

Length comps, whole catch, Rec_PR_Central (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. (plot 2 of 2)
file: comp_lenfit_flt5mkt0_page2.png

Pearson residuals, whole catch, Rec_PR_Central (max=18.41) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt5mkt0_page2.png

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

Mean length for Rec_PR_Central 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_PR_Central:
1.0004 (0.7058-1.6768)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Rec_PR_Central.png

Length comps, whole catch, Rec_Disc_Central.
'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.png

Pearson residuals, whole catch, Rec_Disc_Central (max=4.57)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt6mkt0.png

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

Mean length for Rec_Disc_Central 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_Disc_Central:
1.0002 (0.5242-4.3114)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Rec_Disc_Central.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_flt7mkt0.png

Pearson residuals, whole catch, CCFRP (max=1.47)
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, CCFRP
file: comp_lenfit_sampsize_flt7mkt0.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:
0.9998 (0.7071-2.009)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_CCFRP.png

Length comps, whole catch, DWV_Onboard_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_lenfit_flt8mkt0.png

Pearson residuals, whole catch, DWV_Onboard_CPFV (max=1.08)
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, DWV_Onboard_CPFV
file: comp_lenfit_sampsize_flt8mkt0.png

Mean length for DWV_Onboard_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 DWV_Onboard_CPFV:
0.9992 (0.6657-3.5914)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_DWV_Onboard_CPFV.png

Length comps, whole catch, CDFG_Lea_Research.
'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.png

Pearson residuals, whole catch, CDFG_Lea_Research (max=3.14)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt13mkt0.png

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

Mean length for CDFG_Lea_Research 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 CDFG_Lea_Research:
1.0093 (0.6887-3.3777)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_CDFG_Lea_Research.png

Excluded length comps, whole catch, Comm_nonTwl.
'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, Comm_nonTwl (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, Rec_PC_Central.
'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_PC_Central (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, DWV_Onboard_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_flt8mkt0.png

Pearson residuals, whole catch, DWV_Onboard_CPFV (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt8mkt0.png

Excluded length comps, whole catch, PISCO_SCUBA.
'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_flt10mkt0.png

Pearson residuals, whole catch, PISCO_SCUBA (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt10mkt0.png

Sex ratios for length comps, whole catch, CDFG_Lea_Research.
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_flt13mkt0.png