Learn R with Real Code Examples

Updated Nov 21, 2025

Introduction & Fundamentals Setup & Configuration Architecture & Deep Internals Performance & Security Development Workflow Learning & Career Growth Business & Strategy Examples

Installation Setup

Download and install R from CRAN (https://cran.r-project.org/)

Install RStudio for a full IDE experience (optional but recommended)

Set library paths for custom package storage

Use `install.packages()` to add new packages

Verify installation with `R --version` and a test script

Environment Setup

Install R from CRAN

Install RStudio IDE

Set library paths for package storage

Install essential packages

Test R scripts and plots

Config Files

.Rprofile for environment setup

.Renviron for environment variables

R scripts (.R) and notebooks (.Rmd)

Project-specific library paths

Package DESCRIPTION and NAMESPACE files

Cli Commands

R - start interactive REPL

Rscript file.R - run scripts

install.packages('pkg') - install package

update.packages() - update installed packages

R CMD check package - validate package

Internationalization

UTF-8 support

Handles multi-language datasets

CRAN packages support various locales

Reports can be generated in multiple languages

Community examples worldwide

Accessibility

Cross-platform compatibility

Open-source and free

Accessible to statisticians and analysts

Readable syntax for domain-specific tasks

Community support for beginners

Ui Styling

Console-based output

Plots with ggplot2/base graphics

Interactive Shiny dashboards

R Markdown reports (HTML/PDF/Word)

Minimal native GUI, relies on IDE or Shiny

State Management

Global and local variables

Function environments

Mutable lists and data frames

Package namespaces

R session and workspace management

Data Management

Vectors, matrices, lists, data frames

dplyr and data.table for manipulation

tidyr for reshaping

Reading/writing CSV, Excel, databases

Serialization with RDS or feather files