R Options

Structuring R packages with R6 or S3, namespace management, and dependency hygiene

R error handling using tryCatch, withCallingHandlers, rlang conditions, and defensive coding

Specific best practices and architectural patterns when working with Tidyverse.

Specific best practices and architectural patterns when working with Shiny.

Specific best practices and architectural patterns when working with ggplot2.

Specific best practices and architectural patterns when working with Plumber.

R static analysis with lintr and automatic formatting with styler

R performance optimization using vectorization, data.table, and profiling tools

R security practices for Shiny apps, package auditing, and safe data handling

Core R coding conventions covering naming, pipe usage, and idiomatic patterns

R testing conventions using testthat for unit testing and test structure