In the current day and age, we can truly learn anything online. Unfortunately, the internet is filled with content and with the proliferation of GenAI, we don't know if information we find is written by someone who quickly Googled the subject and asked a GenAI chatbot for a summary, or someone with a good deal of experience and education in the subject. In this resource database, I want share resources for statistics, mathematics, and economics that are from credible sources. These are just organized links to places one can find a wide range of lecture notes, documents, workshops and even freely available books on different subjects. I intend to organize these by subject in the future, but for now this is for my own personal documentation as much as it is a public good.
Writing functions for repeated, complex, tasks is an easy way to prevent mistakes and make changes in the implementation easily. As a data analyst I write a lot of custom functions, predominantly for quality of life features. Examples include parallel model fitting, custom effect plots (similar to jtools::effect_plot() but with additional customizations), and coefficient & model comparison tables with color coded cells based on statistical significance. Given that these functions are written with the particular data in mind (tradeoff between robustness and unnecessary debugging headaches), I usually cannot share them as is; however, I intend to release some of the quality of life functions after removing with project specific components. Hopefully one day I can turn them into a library similar to jtools.
Some libraries I find helpful for niche (specific functions or uses) or general purposes with brief explanations.