Set at the Jedi quarters of the Starlight Beacon, the story follows Jedi Masters and Kantam Sy as they compete in a "brutal" bake-off. Using Master Yoda’s special pastry recipe, the two must provide the most critical ingredient: a story of cooperation.
For fans who want to bring the story home, the comic includes an actual recipe for Master Yoda’s pastries (Special Baked Sweet Story Custard Cakes) in the back of the book. Collection & Availability
A blue Chagrian Jedi Master known for healing, nicknamed "Buckets of Blood".
is a one-shot comic book released on January 19, 2022 , as part of the Phase I wave of the High Republic multimedia project . Published by IDW Publishing , this 48-page special blends lighthearted culinary competition with legendary Jedi history. Plot Overview
install.packages(repos=c(FLR="https://flr.r-universe.dev", CRAN="https://cloud.r-project.org"))
Set at the Jedi quarters of the Starlight Beacon, the story follows Jedi Masters and Kantam Sy as they compete in a "brutal" bake-off. Using Master Yoda’s special pastry recipe, the two must provide the most critical ingredient: a story of cooperation.
For fans who want to bring the story home, the comic includes an actual recipe for Master Yoda’s pastries (Special Baked Sweet Story Custard Cakes) in the back of the book. Collection & Availability
A blue Chagrian Jedi Master known for healing, nicknamed "Buckets of Blood".
is a one-shot comic book released on January 19, 2022 , as part of the Phase I wave of the High Republic multimedia project . Published by IDW Publishing , this 48-page special blends lighthearted culinary competition with legendary Jedi history. Plot Overview
The FLR project has been developing and providing fishery scientists with a powerful and flexible platform for quantitative fisheries science based on the R statistical language. The guiding principles of FLR are openness, through community involvement and the open source ethos, flexibility, through a design that does not constraint the user to a given paradigm, and extendibility, by the provision of tools that are ready to be personalized and adapted. The main aim is to generalize the use of good quality, open source, flexible software in all areas of quantitative fisheries research and management advice.
Development code for FLR packages is available both on Github and on R-Universe. Bugs can be reported on Github as well as suggestions for further development.
Studies and publications citing or using FLR
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Please submit an issue for the relevant package, or at the tutorials repository.
