MOC - R

Overview

About

This note serves as an index for all notes related to R - a programming language for statistical computing and graphics.

Core Areas

Language Fundamentals

• Base R programming
• Tidyverse ecosystem
• Functional programming with purrr

Package Development

• R package structure
• roxygen2 documentation
• Testing with testthat
• CRAN/GitHub distribution

Data Science

• Data manipulation (dplyr, tidyr)
• Visualization (ggplot2)
• Statistical modeling

Web Applications

• Shiny applications (see MOC - R Shiny)
• Plumber APIs
• htmlwidgets

Related MOCs

Parent/Broader MOCs

• MOC - Development - Software development practices
• MOC - Data Science - Data analysis context

Child/Specialized MOCs

• MOC - R Shiny - Shiny web applications
• MOC - Geospatial - R spatial packages (sf, terra, leaflet)

Sibling MOCs (Same Level)

• MOC - Python - Alternative for data science
• MOC - Statistics - Statistical methods

Domain MOCs

• MOC - Actuarial Science - Actuarial applications in R
• MOC - Data Engineering - R in data pipelines (targets, arrow)

Guides

Guide	Description
Guide - R Coding Conventions	R style guide and best practices
Guide - R Shiny App Package	Structuring Shiny apps as packages
Guide - R httr2 API Client Package	Building API client packages

Lists

List	Description
List - R Geospatial Packages	Spatial analysis packages
List - R Shiny Ecosystem	Shiny ecosystem tools

Code Snippets

Notes

NOTE

Currently, there are individual notes with the #Topic/R tag.

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Appendix

Note created on 2025-12-20 and last modified on 2025-12-31.

Backlinks

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