Managing Your Session Sandbox
When analyzing biomedical datasets, your code must constantly talk to files stored on your computer. If R doesn't know where to look, your scripts will crash before they even begin processing. This module shows you how to track, manage, and audit your workspace environment.
Generating Data Progressions
Additionally, you will dive into sequencing—learning how to rapidly create mathematical vectors without typing numbers one by one. This forms the baseline engine for tracking things like chronological time-series or specific dosage windows.
Package Installation Reminder
Remember, install.packages() downloads the software once, but library() loads it for your current session. If you closed RStudio since your last lesson, you must re-run library(swirl) to jump back in!