📅 2023-10-17 — Session: Resolved R package installation issues and structured analysis
🕒 21:15–22:00
🏷️ Labels: R, Tidyverse, Hmisc, Data Analysis, Panelmatch, Rstudio
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to resolve installation issues with R packages and structure data analysis documentation.
Key Activities
- Installed the
tidyverseandHmiscpackages in R, addressing installation errors by resolving system dependencies such aslibcurlandgfortranon Linux systems. - Provided instructions for installing and loading these packages, including troubleshooting steps for common issues.
- Developed a structured table of contents for data analysis documents, focusing on data preparation, transformation, and outcome processing.
- Introduced a causal analysis of violence events using the PanelMatch package, outlining goals and expected outcomes.
- Explained best practices for structuring R scripts and R Markdown documents, including the use of code chunks and markdown text.
- Shared shortcuts for commenting and uncommenting in RStudio.
Achievements
- Successfully resolved package installation errors for
tidyverseandHmiscon Linux systems. - Created a cohesive and structured table of contents for data analysis documentation.
- Clarified the structure and best practices for R scripts and R Markdown documents.
Pending Tasks
- Further exploration of the PanelMatch methodology and its application in causal analysis.
- Finalize the comprehensive analysis document using the structured table of contents and best practices discussed.