📅 2023-10-17 — Session: Resolved R package installation issues on Linux
🕒 21:15–22:00
🏷️ Labels: R, Tidyverse, Hmisc, Linux, Data Analysis, Rstudio
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to address and resolve installation issues related to R packages, specifically focusing on the ‘tidyverse’ and ‘Hmisc’ packages, and to provide a structured approach for data analysis documentation.
Key Activities
- Tidyverse Installation: Resolved an installation error for the ‘tidyverse’ package on Linux by addressing a missing system dependency,
libcurl. - Hmisc Installation: Provided instructions for installing the ‘Hmisc’ package in R, including resolving dependency issues by installing the
gfortrancompiler on Ubuntu. - Data Analysis Documentation: Developed a structured table of contents for a data analysis document using R Markdown, focusing on sections such as data preparation, transformation, and outcome processing.
- R Script Structuring: Discussed best practices for organizing R scripts to enhance readability and maintainability.
Achievements
- Successfully resolved installation issues for both the ‘tidyverse’ and ‘Hmisc’ packages on Linux systems.
- Created a comprehensive table of contents template for data analysis documentation in R Markdown.
- Enhanced understanding of R script structuring and R Markdown document preparation.
Pending Tasks
- Further exploration of causal analysis using the PanelMatch package in R.
- Implementation of custom keyboard shortcuts in RStudio for improved coding efficiency.