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, Comm_nonTwl_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_lenfit_flt1mkt0_page1.png


Length comps, whole catch, Comm_nonTwl_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. (plot 2 of 2)
file: comp_lenfit_flt1mkt0_page2.png


Pearson residuals, whole catch, Comm_nonTwl_dead (max=3.63) (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, Comm_nonTwl_dead
file: comp_lenfit_sampsize_flt1mkt0.png


Mean length for Comm_nonTwl_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 Comm_nonTwl_dead:
1.0011 (0.6689-1.6954)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Comm_nonTwl_dead.png


Length comps, whole catch, Comm_nonTwl_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, Comm_nonTwl_live (max=1.98)
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, Comm_nonTwl_live
file: comp_lenfit_sampsize_flt2mkt0.png


Mean length for Comm_nonTwl_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 Comm_nonTwl_live:
1.5111 (0.9807-3.4582)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Comm_nonTwl_live.png


Length comps, whole catch, Comm_Trawl.

'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_Trawl (max=2.68)
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_Trawl
file: comp_lenfit_sampsize_flt3mkt0.png


Mean length for Comm_Trawl 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_Trawl:
1.6605 (1.2099-2.8653)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Comm_Trawl.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_flt4mkt0.png


Pearson residuals, whole catch, Comm_Discard (max=28.08)
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, Comm_Discard
file: comp_lenfit_sampsize_flt4mkt0.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:
1.0006 (0.742-1.7784)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Comm_Discard.png


Length comps, whole catch, Rec_PC_North (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_PC_North (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_PC_North (max=3.09) (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_PC_North
file: comp_lenfit_sampsize_flt5mkt0.png


Mean length for Rec_PC_North 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_North:
1.0019 (0.7188-1.7213)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Rec_PC_North.png


Length comps, whole catch, Rec_PR_North (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


Length comps, whole catch, Rec_PR_North (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_flt6mkt0_page2.png


Pearson residuals, whole catch, Rec_PR_North (max=6.65) (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, Rec_PR_North
file: comp_lenfit_sampsize_flt6mkt0.png


Mean length for Rec_PR_North 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_North:
0.9981 (0.6777-1.8031)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Rec_PR_North.png


Length comps, whole catch, Rec_Disc_North.

'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, Rec_Disc_North (max=4.1)
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, Rec_Disc_North
file: comp_lenfit_sampsize_flt7mkt0.png


Mean length for Rec_Disc_North 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_North:
0.999 (0.561-4.0094)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Rec_Disc_North.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_flt8mkt0.png


Pearson residuals, whole catch, CCFRP (max=5.03)
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, CCFRP
file: comp_lenfit_sampsize_flt8mkt0.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:
1.0002 (0.7599-45.1053)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_CCFRP.png


Length comps, whole catch, Abrams_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_flt11mkt0.png


Pearson residuals, whole catch, Abrams_Research (max=1.47)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt11mkt0.png


N-EffN comparison, Length comps, whole catch, Abrams_Research
file: comp_lenfit_sampsize_flt11mkt0.png


Mean length for Abrams_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 Abrams_Research:
1.0014 (1.0014-Inf)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Abrams_Research.png


Excluded length comps, whole catch, Comm_nonTwl_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_gstlenfit_flt1mkt0.png


Pearson residuals, whole catch, Comm_nonTwl_dead (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, Comm_Trawl.

'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, Comm_Trawl (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_PC_North.

'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_flt5mkt0.png


Pearson residuals, whole catch, Rec_PC_North (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt5mkt0.png


Excluded length comps, whole catch, Rec_PR_North.

'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, Rec_PR_North (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt6mkt0.png


Excluded length comps, whole catch, Rec_Disc_North.

'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_flt7mkt0.png


Pearson residuals, whole catch, Rec_Disc_North (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt7mkt0.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, Comm_nonTwl_dead (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_flt1mkt0_page1.png


Sex ratios for length comps, whole catch, Comm_nonTwl_dead (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. (plot 2 of 2)
file: sexratio_len_flt1mkt0_page2.png


Sex ratios for length comps, whole catch, Comm_Trawl.
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.png


Sex ratios for length comps, whole catch, Abrams_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_flt11mkt0.png