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
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit__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=3.68)
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:
1.0027 (0.7375-1.6483)
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=3.13)
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:
0.9931 (0.6943-1.9455)
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=4.44) (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:
1.0139 (0.7272-1.5968)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Rec_CPFV.png

Length comps, whole catch, Rec_PR (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_PR (max=6.01) (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_PR
file: comp_lenfit_sampsize_flt4mkt0.png

Mean length for Rec_PR 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:
0.9919 (0.5791-2.2223)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Rec_PR.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=2.42)
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:
1.0009 (0.6196-2.5282)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_CCFRP.png

Excluded length comps, whole catch, Commercial_Dead (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_gstlenfit_flt1mkt0_page1.png

Pearson residuals, whole catch, Commercial_Dead (max=NA) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt1mkt0_page2.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_PR.

'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_PR (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, Rec_CPFV (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