Demystifying the art of creating custom libraries for your organization
summary
Builds an R package called danalytics, drops in a working notin function (verified with TRUE/FALSE output), documents it in man/, and installs via install_github, GitHub Enterprise with a personal token, or a shared file directory. Shows concrete helpers: inkbase (keyring + RPostgreSQL connection wrapper), getSQL (read SQL files and run on Redshift), and a datatable export helper (copy/CSV buttons). Demonstrates the full workflow end-to-end and confirms install and usage succeed.
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chapters (10)
- 0:00Custom libraries introduction
- 2:13Why package functions
- 4:00Basic package setup
- 6:13Testing the package
- 6:58Documenting functions
- 8:04Install from GitHub
- 9:11Install from GitHub Enterprise
- 10:58Install from directory
- 11:19Real-world use cases
- 14:11Summary
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