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, CA_Commercial (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, CA_Commercial (max=3.24) (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, CA_Commercial
file: comp_lenfit_sampsize_flt1mkt0.png

Mean length for CA_Commercial 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_Commercial:
0.9992 (0.6576-2.0279)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_CA_Commercial.png

Length comps, whole catch, CA_Recreational (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_flt2mkt0_page1.png

Pearson residuals, whole catch, CA_Recreational (max=5.17) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt0_page2.png

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

Mean length for CA_Recreational 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_Recreational:
0.9983 (0.7174-1.674)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_CA_Recreational.png

Length comps, whole catch, CA_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_flt4mkt0.png

Pearson residuals, whole catch, CA_CCFRP (max=2.72)
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, CA_CCFRP
file: comp_lenfit_sampsize_flt4mkt0.png

Mean length for CA_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 CA_CCFRP:
1.0139 (0.5916-4.3074)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_CA_CCFRP.png

Length comps, whole catch, CA_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_lenfit_flt5mkt0.png

Pearson residuals, whole catch, CA_ROV (max=1.37)
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_ROV
file: comp_lenfit_sampsize_flt5mkt0.png

Mean length for CA_ROV 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_ROV:
0.9949 (0.7424-12.272)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_CA_ROV.png