Figure 1. Time series

Figure 2. Spectra

Figure 3. Autocorrelation

Figure 4. Crosscorrelations between recruitment and catch

Figure 5. Crosscorrelations between recruitment and F and length

Software Versions

Author information

Laurence Kell. laurie@seaplusplus.es

Acknowledgements

This vignette and many of the methods documented in it were developed under the MyDas project funded by the Irish exchequer and EMFF 2014-2020. The overall aim of MyDas is to develop and test a range of assessment models and methods to establish Maximum Sustainable Yield (MSY) reference points (or proxy MSY reference points) across the spectrum of data-limited stocks.

References

Session Info

R version 3.4.1 (2017-06-30)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04.2 LTS

Matrix products: default
BLAS: /usr/lib/libblas/libblas.so.3.6.0
LAPACK: /usr/lib/lapack/liblapack.so.3.6.0

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_GB.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_GB.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_GB.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] RPostgreSQL_0.6-2   DBI_1.0.0           mydas_0.0.0.9000   
 [4] FLife_3.2.1.9001    FLAssess_2.6.1      FLBRP_2.5.3        
 [7] ggplotFL_2.6.4.9002 FLCore_2.6.9        lattice_0.20-35    
[10] dplyr_0.7.6         plyr_1.8.4          reshape_0.8.7      
[13] ggplot2_3.0.0       knitr_1.20         

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.18     pillar_1.1.0     compiler_3.4.1   bindr_0.1.1     
 [5] tools_3.4.1      digest_0.6.15    evaluate_0.10.1  tibble_1.4.2    
 [9] gtable_0.2.0     pkgconfig_2.0.1  rlang_0.2.2      Matrix_1.2-10   
[13] yaml_2.1.18      bindrcpp_0.2.2   gridExtra_2.3    withr_2.1.2     
[17] stringr_1.3.1    stats4_3.4.1     rprojroot_1.3-2  grid_3.4.1      
[21] tidyselect_0.2.4 glue_1.2.0       R6_2.2.2         rmarkdown_1.9   
[25] reshape2_1.4.3   purrr_0.2.5      magrittr_1.5     codetools_0.2-15
[29] backports_1.1.2  scales_1.0.0     htmltools_0.3.6  MASS_7.3-47     
[33] assertthat_0.2.0 colorspace_1.3-2 labeling_0.3     stringi_1.2.3   
[37] lazyeval_0.2.1   munsell_0.5.0