hake_recruitment_over_2010 | R Documentation |
This is calculated to improve understanding when comparing recruitments between years. A survey of participants in the stock assessment process found that all but one respondent correctly inferred from the standard plot 'plot(hake_recruitment)' that the 2014 recruitment has zero probability of being as large as the (well-known large) 2010 recruitment.
hake_recruitment_over_2010
hake_recruitment_over_2010_2023
hake_recruitment_over_2010_2024
A tibble also of class 'pacea_recruitment' with columns:
year of the estimate of scaled recruitment
low end (2.5th percentile) of the 95% credible interval for the scaled recruitment, unitless
median estimate of scaled recruitment, unitless
high end (97.5th percentile) of the 95% credible interval for the scaled recruitment, unitless
An object of class pacea_recruitment
(inherits from tbl_df
, tbl
, data.frame
) with 58 rows and 4 columns.
An object of class pacea_recruitment
(inherits from tbl_df
, tbl
, data.frame
) with 59 rows and 4 columns.
For each Markov chain Monte Carlo (MCMC) sample the recruitment in a year is divided by the recruitment in 2010, and then median and credible intervals are calculated for each year across all samples.
For more details see Appendix H of the 2022 assessment at https://media.fisheries.noaa.gov/2022-02/2022-hake-assessment-post-srg.pdf. Figure 31 of the 2023 assessment shows the 2023 results.
See '?hake_recruitment' for further details and reference regarding hake, and explanations of 'hake_recruitment_over_2010_2023' etc.
Andrew Edwards
Generated from Andy running (in the hake repository) 'pacea_save()' and then here 'data-raw/groundfish/hake.R'.
## Not run:
hake_recruitment_over_2010
plot(hake_recruitment_over_2010) # the code automatically plots in red and
adds the line at 1
## End(Not run)
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