Reproducible Science, Best Practices and the ICES Transparent Assessment Framework
- ICES Training Programme
- Instructors:
- Iago Mosqueira, Wageningen Marine Research, Netherlands.
- Colin Millar, ICES Secretariat.
- 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.
- 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.
- 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"))
-
Report any problems using the repository issue system, or by email.
-
Please clone the course material repository at https://github.com/ices-eg/tc_tctaf22.
- Your own data and code for a stock assessment and forecast.