ichimomo / tc_tctaf22

Training Course on Reproducible science, best practices and ICES Transparent Assessment Framework

Home Page:https://community.ices.dk/TrainingCourses/TCTAF22/_layouts/15/start.aspx#/SitePages/HomePage.aspx

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TCRSBPITAF-2022

Reproducible Science, Best Practices and the ICES Transparent Assessment Framework

  • ICES Training Programme
  • Instructors:
    • Iago Mosqueira, Wageningen Marine Research, Netherlands.
    • Colin Millar, ICES Secretariat.

Course goals

  • Be able to create and populate a TAF repository for any analysis.
  • Create all required outputs for a stock assessment and advice forecast.
  • Use git for version control, development and collaboration.
  • Report on the work carried out using markdown.

Requirements

  • R >= 4.2.0.
  • Ability to install packages from various repositories (CRAN, FLR).
  • Demonstrations will be run in RStudio Desktop 2022.07.1+554. If you use Rtudio make sure it is recent version, or reinstall the very latest.
  • Your own account in github.
  • Optional: Rtools, to be able to reinstall packages that migt be updated.

INSTALLATION

  • Please try installing the necessary packages in advance, by running:
pkgs <- c("data.table", "flextable", "officedown", "doParallel",
  "ggrepel", "patchwork", "icesdown", "icesAdvice", "icesTAF",
  "FLCore", "FLFishery", "FLasher", "FLa4a", "ggplotFL", "a4adiags")

install.packages(pkgs, repos=c(
    FLR="https://flr-project.org/R",
    ICES="https://ices-tools-prod.r-universe.dev/",
    CRAN="https://cloud.r-project.org"))

Bring

  • Your own data and code for a stock assessment and forecast.

About

Training Course on Reproducible science, best practices and ICES Transparent Assessment Framework

https://community.ices.dk/TrainingCourses/TCTAF22/_layouts/15/start.aspx#/SitePages/HomePage.aspx

License:MIT License


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Language:R 100.0%