One of the most significant challenges facing mature women in entertainment is the prevalence of ageism. According to a study by the Sundance Institute, women over 40 are significantly underrepresented in leading roles in film and television. The study found that only 2% of leading roles in the top 100 films of 2019 were played by women over 50, compared to 12% of leading roles played by men over 50. This disparity is even more pronounced when it comes to women of color, who face both ageism and racism in the industry.
install.packages(repos=c(FLR="https://flr.r-universe.dev", CRAN="https://cloud.r-project.org"))
One of the most significant challenges facing mature women in entertainment is the prevalence of ageism. According to a study by the Sundance Institute, women over 40 are significantly underrepresented in leading roles in film and television. The study found that only 2% of leading roles in the top 100 films of 2019 were played by women over 50, compared to 12% of leading roles played by men over 50. This disparity is even more pronounced when it comes to women of color, who face both ageism and racism in the industry.
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.
