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R Sandbox

This is a place to:

  • Share R code used by the OFP-SAM team, mainly functions that do not have a home in a package (yet).

  • Organize and communicate R code development and maintenance by the OFP-SAM team.

OFP-SAM Packages

The OFP-SAM team maintains, to a varying degree, the following R packages related to Multifan-CL:

Package Maintainer Created Last modified Dependencies Purpose
diags4MFCL Nicholas 2020 Apr 2022 Nov FLR4MFCL, frqit, data.table, ggplot2, ggthemes, magrittr, RColorBrewer Present MFCL results and diagnostics
condor Arni 2023 Feb 2023 Jun ssh Interact with Condor from R via SSH
frqit Matt 2020 May 2021 Jun FLR4MFCL Read and manipulate MFCL frq files
FLR4MFCL Rob 2015 Mar 2023 Jun FLCore Tame MULTIFAN-CL
miWantemLuk Rob 2021 Feb 2023 Jun FLR4MFCL, chorddiag, hrbrthemes, networkD3, patchwork, r2d3, tidyverse, viridis Graphing and data visualisation
R4MFCL Arni 2011 May 2023 Feb data.table, dplyr, ggmap, ggplot2, gridExtra, magrittr, mapdata, maps, reshape2, rlang, RODBC, RSQLite, scales, stringr, tidyr, viridis, xtable Automate the running and analysis of MFCL stock assessments

This table was last updated on 30 Jun 2023.

OFP-SAM Shiny apps

Finlay has developed two kinds of Shiny apps to browse OFP-SAM stock assessments:

  1. Stepwise app to plot individual or several models
  2. Grid app to plot all grid models

Arni applied the Stepwise app to the YFT 2020 review, based on the SKJ 2022 Stepwise app. Jemery and Arni then adapted the Stepwise app to the BET and YFT 2023 assessments.

The following repositories contain OFP-SAM Shiny apps for stock assessments:

Purpose Repository Online
Development https://github.com/PacificCommunity/ofp-sam-shinyMFCL -
BET 2020 sensitivities https://github.com/PacificCommunity/ofp-sam-shinyMFCL/tree/main/examples/bet_2020_sensitivities -
BET 2023 stepwise https://github.com/PacificCommunity/ofp-sam-bet-2023-shiny -
SKJ 2022 sensitivities https://github.com/PacificCommunity/ofp-sam-shinyMFCL/tree/main/examples/skj_2022_reg5_sens -
SKJ 2022 stepwise https://github.com/PacificCommunity/ofp-sam-shinyMFCL/tree/main/examples/skj_2022_stepwise -
YFT 2020 review https://github.com/PacificCommunity/ofp-sam-shinyMFCL/tree/main/examples/yft_2020_review -
YFT 2023 stepwise https://github.com/PacificCommunity/ofp-sam-yft-2023-shiny -