Readers often search for "good stories" that subvert expectations or highlight resilience.

“Junior's mother tells him that he should “write a story about something good, because people should know that good things happen to Indians too.” LitCharts

“Looking for a story where humanity is in a war with aliens. A human general surrenders... Unknown to the aliens the general carries and has spread a deadly disease among the aliens.” Reddit · r/HFY · 1 year ago

Could you clarify where you saw this or describe the visual content of the image so I can find the specific story behind it? The Lone Ranger and Tonto Fistfight in Heaven - LitCharts

Installing FLR

To install the latest versions of any FLR package, and all the necessary dependencies, start R and enter


          install.packages(repos=c(FLR="https://flr.r-universe.dev", CRAN="https://cloud.r-project.org"))

A good starting point to explore FLR is A quick introduction to FLR

1248_lhf_036.jpg

Readers often search for "good stories" that subvert expectations or highlight resilience.

“Junior's mother tells him that he should “write a story about something good, because people should know that good things happen to Indians too.” LitCharts

Could you clarify where you saw this or describe the visual content of the image so I can find the specific story behind it? The Lone Ranger and Tonto Fistfight in Heaven - LitCharts

About FLR

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.

FLR development

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.