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R Programming — Complete Guide

In this tutorial, you will learn about R Programming. We cover key concepts, practical examples, and best practices to help you master this topic.

R is a programming language and environment dedicated to statistical computing and data visualization. Master data analysis, ggplot2, and the tidyverse with hands-on tutorials.

1. What Is R?
Origins, philosophy, and use cases
2. Vectors
Creating, indexing, and vectorized operations
3. Data Frames
Tabular data, subsetting, and manipulation
4. Factors and Categorical Data
Storing and working with categories
5. Lists and Matrices
Multi-dimensional data structures
6. dplyr for Data Wrangling
Filter, select, mutate, summarise, arrange
7. tidyr for Data Tidying
Pivot, spread, gather, and clean data
8. ggplot2 Visualization
Grammar of graphics, layers, and themes
9. Statistical Analysis
t-tests, ANOVA, correlation, and regression
10. Linear Regression
Model fitting, diagnostics, and prediction
11. R Markdown
Reproducible reports and documentation
12. Shiny Web Apps
Interactive dashboards and applications
13. Data Import and Export
Reading CSV, Excel, JSON, and databases
14. The Tidyverse Ecosystem
Purrr, stringr, lubridate, and forcats
15. Advanced Visualization
Interactive plots, maps, and animations
16. Machine Learning
caret, tidymodels, and model evaluation
17. Writing Functions
Functions, scoping, and error handling
18. R Packages
Creating and sharing R packages
19. data.table for Big Data
Fast data manipulation on large datasets
20. Real-World Projects
Data analysis and reporting projects

Published Topics

What Is R?

R is a programming language and environment for statistical computing and data visualization, created by statisticians.

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Regex for Email Validation — Pattern Explained with Examples

The standard regex pattern for validating email addresses according to RFC 5322 — matches local part, @ symbol, and domain with subdomains.

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Vectors — Complete Guide

R vectors are the fundamental data type, supporting vectorized operations that apply functions to every element at once.

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Regex for US Phone Numbers — Pattern Explained with Examples

The regex pattern for validating US phone numbers in various formats — with or without country code, parentheses, dashes, and dots.

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Data Frames — Complete Guide

R data frames are tabular data structures equivalent to spreadsheets, combining equal-length vectors as columns.

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Regex for International Phone Numbers — Pattern Explained with Examples

A flexible regex pattern for validating international phone numbers with country codes — supports E.164 format and common writing styles.

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Factors and Categorical Data — Complete Guide

R factors store categorical data with predefined levels, essential for statistical modeling and plotting.

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Regex for URL Validation — Pattern Explained with Examples

A comprehensive regex pattern for validating URLs — supports HTTP, HTTPS, FTP, subdomains, paths, query strings, and fragments.

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Lists and Matrices — Complete Guide

R lists hold mixed data types, while matrices are two-dimensional arrays of a single type.

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Regex for IPv4 Address — Pattern Explained with Examples

The regex pattern for validating IPv4 addresses — matches each of four octets (0-255) separated by dots with boundary enforcement.

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dplyr for Data Wrangling — Complete Guide

dplyr provides intuitive functions for data manipulation: filter, select, mutate, summarise, arrange, and group_by.

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Regex for IPv6 Address — Pattern Explained with Examples

The regex pattern for validating IPv6 addresses — supports 8 groups of 4 hex digits, shorthand (::), and mixed IPv4-IPv6 notation.

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tidyr for Data Tidying — Complete Guide

tidyr reshapes data between wide and long formats using pivot_longer, pivot_wider, and handling missing values.

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RAII (Resource Acquisition Is Initialization) — Explained with Examples

RAII is a C++ programming idiom where resource acquisition is tied to object lifetime, ensuring automatic cleanup when objects go out of scope.

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Regex for MAC Address — Pattern Explained with Examples

The regex pattern for validating MAC addresses — supports colon, hyphen, and no-separator formats for 48-bit hardware addresses.

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ggplot2 Visualization — Complete Guide

ggplot2 implements the grammar of graphics, building plots layer by layer with data, aesthetics, and geometries.

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Regex for HTML Tags — Pattern Explained with Examples

The regex pattern for matching HTML tags — supports opening, closing, self-closing tags, and attributes with quoted values.

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Statistical Analysis — Complete Guide

R provides comprehensive statistical tests including t-tests, ANOVA, correlation, and chi-square tests out of the box.

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Regex for Credit Card Numbers — Pattern Explained with Examples

Regex patterns for credit card number validation — supports Visa, Mastercard, American Express, Discover, and general Luhn-compatible formats.

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Rust Tutorials

Rust is a systems programming language focused on memory safety and concurrency without a garbage collector. It powers Firefox, Dropbox, and Cloudflare.

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Linear Regression — Complete Guide

R linear regression with lm() fits models, provides coefficient estimates, p-values, R-squared, and diagnostic plots.

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Regex for UUID — Pattern Explained with Examples

The regex pattern for validating UUIDs (Universally Unique Identifiers) — matches all 5 UUID versions in standard 8-4-4-4-12 hex format.

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R Markdown — Complete Guide

R Markdown creates reproducible reports combining code, output, and narrative text in a single document.

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Regex for Date (YYYY-MM-DD) — Pattern Explained with Examples

The regex pattern for validating dates in YYYY-MM-DD format — validates year, month (01-12), and day (01-31) with separators.

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Shiny Web Apps — Complete Guide

Shiny builds interactive web applications directly from R with reactive programming and UI components.

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Regex for Date (MM/DD/YYYY) — Pattern Explained with Examples

The regex pattern for validating dates in US MM/DD/YYYY format — validates month, day, and 4-digit year with forward slash separator.

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Data Import and Export — Complete Guide

R reads CSV, Excel, JSON, and database data using readr, readxl, jsonlite, and DBI packages.

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Regex for Time (HH:MM) — Pattern Explained with Examples

The regex pattern for validating time in 12-hour and 24-hour formats — validates hours and minutes with optional seconds and AM/PM.

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The Tidyverse Ecosystem — Complete Guide

The tidyverse includes purrr, stringr, lubridate, forcats, and readr for comprehensive data science workflows.

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Regex for ISO 8601 Date/Time — Pattern Explained with Examples

The regex pattern for validating ISO 8601 date-time format — combines date, time, timezone offset in the standard international format.

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Advanced Visualization — Complete Guide

R advanced visualization includes interactive plots with plotly, maps with sf/ggplot2, and animations with gganimate.

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Regex for ZIP/Postal Code — Pattern Explained with Examples

The regex pattern for validating US ZIP codes — supports 5-digit and ZIP+4 formats with optional hyphen.

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Machine Learning — Complete Guide

R machine learning with caret and tidymodels provides classification, regression, clustering, and model evaluation.

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Regex for Social Security Number — Pattern Explained with Examples

The regex pattern for validating US Social Security Numbers (SSN) — validates XXX-XX-XXXX format with valid area/group ranges.

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Writing Functions — Complete Guide

R functions have lexical scoping, default arguments, and support for both base R and tidyverse evaluation.

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Regex for Hex Color Codes — Pattern Explained with Examples

The regex pattern for validating hexadecimal color codes — supports 3-digit and 6-digit hex colors with optional # prefix.

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R Packages — Complete Guide

R packages organize reusable code with documentation, tests, and a standardized structure for sharing on CRAN.

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Regex for Password Strength — Pattern Explained with Examples

The regex pattern for validating password strength — enforces minimum length, uppercase, lowercase, digit, and special character requirements.

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Ruby Tutorials

Ruby is a dynamic, object-oriented scripting language known for its elegant syntax and developer happiness. It powers Ruby on Rails, one of the most popular web frameworks.

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data.table for Big Data — Complete Guide

data.table provides fast data manipulation on large datasets with concise syntax and memory efficiency.

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Regex for Username/Slug — Pattern Explained with Examples

The regex pattern for validating usernames and URL slugs — alphanumeric characters with underscores, hyphens, and 3-20 character length.

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Real-World Projects — Complete Guide

Build R projects for data analysis, reporting, and visualization using the complete R ecosystem.

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Regex for File Extension — Pattern Explained with Examples

The regex pattern for extracting and validating file extensions — matches the extension part of a filename after the last dot.

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Regex for Base64 — Pattern Explained with Examples

The regex pattern for validating Base64 encoded strings — matches standard A-Za-z0-9+/ padding with correct length constraints.

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Regex for Domain Name — Pattern Explained with Examples

The regex pattern for validating domain names — matches subdomains, TLDs, and follows DNS label rules (not starting with hyphen, max 253 chars).

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Racket Tutorials

Racket is a general-purpose programming language and a platform for language creation. It's used in education, research, and for building domain-specific.

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Regex for Alphanumeric — Pattern Explained with Examples

The regex pattern for validating alphanumeric strings — matches letters (A-Z, a-z) and digits (0-9) with configurable length and optional spaces.

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Regex for Numbers (Integer & Decimal) — Pattern Explained with Examples

The regex pattern for validating integer and decimal numbers — supports positive/negative, optional decimals, leading zeros, and scientific notation.

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Regex for CVV — Pattern Explained with Examples

The regex pattern for validating credit card CVV/CVC codes — matches 3-digit (Visa, MC, Discover) and 4-digit (Amex) security codes.

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Regex for UK Postcode — Pattern Explained with Examples

The regex pattern for validating UK postcodes — matches the format [A-Z][A-Z]?[0-9][A-Z0-9]? [0-9][A-Z]{2} with required space.

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Regex for Canadian Postal Code — Pattern Explained with Examples

The regex pattern for validating Canadian postal codes — matches A#A #A# format with alternating letter-digit pattern and required space.

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Regex for Semantic Version (SemVer) — Pattern Explained with Examples

The regex pattern for validating semantic version numbers — matches MAJOR.MINOR.PATCH format with optional pre-release and build metadata.

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Regex for ISBN — Pattern Explained with Examples

The regex pattern for validating ISBN-10 and ISBN-13 — matches both formats with optional hyphens and validates check digit position.

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Regex for Coordinates (Latitude/Longitude) — Pattern Explained with Examples

The regex pattern for validating geographic coordinates — matches latitude (-90 to 90) and longitude (-180 to 180) in decimal degrees format.

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Rust Ownership Basics — Complete Guide

Learn Rust ownership rules ensuring every value has exactly one owner, preventing memory leaks and data races at compile time without a garbage collector.

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Rust Borrow Checker — Complete Guide

Learn the Rust borrow checker that enforces references follow aliasing rules, allowing either one mutable reference or many immutable references at a time.

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Rust Lifetime Elision — Complete Guide

Learn Rust lifetime elision rules that let the compiler infer common lifetime patterns automatically, reducing annotation noise in function signatures.

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Rust Lifetime Generics — Complete Guide

Learn Rust generic lifetime parameters for annotating relationships between references and ensuring they live as long as their inputs in complex programs.

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Rust impl Trait Argument — Complete Guide

Learn Rust impl Trait in argument position for accepting any type implementing a trait without writing explicit generics, simplifying function signatures.

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Rust Async Await — Complete Guide

Learn Rust async and await syntax for writing asynchronous code that runs concurrently without threads, using futures and executors for efficient I/O.

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Rust Rc and Arc Smart Pointers

Learn Rust Rc and Arc smart pointers for shared ownership, enabling multiple references to the same heap data with reference counting and thread safety.

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All 61 topics in R Programming — Complete Guide are published.